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Adaptive signal control and coordination for urban traffic control in a connected vehicle environment: A review
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作者 Jiangchen Li Liqun Peng +4 位作者 Kaizhe Hou Yong Tian Yulin Ma Shucai Xu Tony Z.Qiu 《Digital Transportation and Safety》 2023年第2期89-111,共23页
Existing signal control systems for urban traffic are usually based on traffic flow data from fixed location detectors.Because of rapid advances in emerging vehicular communication,connected vehicle(CV)-based signal c... Existing signal control systems for urban traffic are usually based on traffic flow data from fixed location detectors.Because of rapid advances in emerging vehicular communication,connected vehicle(CV)-based signal control demonstrates significant improvements over existing conventional signal control systems.Though various CV-based signal control systems have been investigated in the past decades,these approaches still have many issues and drawbacks to overcome.We summarize typical components and structures of these existing CV-based urban traffic signal control systems and digest several important issues from the summarized vital concepts.Last,future research directions are discussed with some suggestions.We hope this survey can facilitate the connected and automated vehicle and transportation research community to efficiently approach next-generation urban traffic signal control methods and systems. 展开更多
关键词 Urban traffic signal control Adaptive signal control signal coordination Connected vehicle-based signal control
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Electrical anisotropy in two-dimensional reduced graphene oxide/polypyrrole-based ordered conjugated system ensure multi-stimulus response signal adapter
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作者 Yuqiao Chai Ruoqi Chen +13 位作者 Xinlei Ma Yonglin He Huanrong Zhang Tianlai Xia Jitao Chen Yushu Wang Hui Ma Xusheng Wang Wei Rao Xinyue Zhang Yapei Wang Junhui Ji Fengwang Li Mianqi Xue 《Science China Materials》 SCIE EI CAS 2024年第12期3966-3975,共10页
Electronic technology,based on signal conversion induced by voltage stimulation,forms the core foundation of the state-of-the-art intelligent devices,tools,and equipment.Such conversions are inherently binary and limi... Electronic technology,based on signal conversion induced by voltage stimulation,forms the core foundation of the state-of-the-art intelligent devices,tools,and equipment.Such conversions are inherently binary and limited because they rely solely on voltage,which presents challenges for many emerging frontier applications.Here,a two-dimensional ordered conjugated system of reduced graphene oxide/polypyrrole(rGO/PPy)has been developed.Multi-stimulus response signal adapters have been constructed,utilizing the electrical anisotropy inherent in the rGO/PPy system.This electrical anisotropy,derived from the quasi-two-dimensional geometry of rGO/PPy,enables the device to produce distinct electrical signals in response to various stimuli.With effective responses to light and pressure,the two most common input stimuli other than voltage,it can output quaternary/denary signals and visual optical signals,as well as enables information encryption using passive devices.Furthermore,the signal adapter demonstrates high cyclic stability under repeated pressure and/or light loading.The successful development of this low-cost,scalable signal adapter paves the way for the next-generation of intelligent systems,promising advancements in human-computer interaction,electronic skin,biological implant equipment,and related fields. 展开更多
关键词 electrical anisotropy signal adapters polypyrrole graphene two-dimensional conjugated system
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Vehicle actuation based short-term traffic flow prediction model for signalized intersections 被引量:8
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作者 SUN Jian ZHANG Lun 《Journal of Central South University》 SCIE EI CAS 2012年第1期287-298,共12页
Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersectio... Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersections,a dynamic data-driven flow prediction model was developed.The model consists of two prediction components based on the signal states(red or green) for each movement at an upstream intersection.The characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was predicted.With an online turning proportion estimation method,along with the predicted travel times,the anticipated vehicle arrivals can be forecasted at the downstream intersection.The model performance was tested at a set of two signalized intersections located in the city of Gainesville,Florida,USA,using the CORSIM microscopic simulation package.Analysis results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%-20%,and show a normal distribution.It is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems. 展开更多
关键词 adaptive signal control least-squared estimation microscopic simulation travel flow prediction urban arterials
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ALGORITHM FOR THE DETECTION AND PARAMETER ESTIMATION OF MULTICOMPONENT LFM SIGNALS 被引量:7
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作者 YuanWeiming WangMin WuShunjun 《Journal of Electronics(China)》 2005年第2期185-189,共5页
A novel algorithm based on Radon-Ambiguity Transform (RAT) and Adaptive Signal Decomposition (ASD) is presented for the detection and parameter estimation of multicompo-nent Linear Frequency Modulated (LFM) signals. T... A novel algorithm based on Radon-Ambiguity Transform (RAT) and Adaptive Signal Decomposition (ASD) is presented for the detection and parameter estimation of multicompo-nent Linear Frequency Modulated (LFM) signals. The key problem lies in the chirplet estimation. Genetic algorithm is employed to search for the optimization parameter of chirplet. High estimation accuracy can be obtained even at low Signal-to-Noisc Ratio(SNR). Finally simulation results are provided to demonstrate the performance of the proposed algorithm. 展开更多
关键词 Multicomponent Linear Frequency Modulated(LFM) signals Parameter estimation Radon-Ambiguity Transform (RAT) Adaptive signal Decomposition (ASD) Genetic algorithm
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Sensorless Monitoring of a Motor-Drive Machanical System Based on Adaptive Signal Decomposition 被引量:1
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作者 MENG Qing-feng JIAO Li-cheng 《International Journal of Plant Engineering and Management》 2006年第1期1-7,共7页
A method for estimating current harmonics of an induction motor is introduced which is used for sensorless monitoring of a mechanical system driven by the motor. The method is based on an adaptive signal representatio... A method for estimating current harmonics of an induction motor is introduced which is used for sensorless monitoring of a mechanical system driven by the motor. The method is based on an adaptive signal representation and is proposed to extract weak harmonics from a noisy current signal, especially in the presence of additive interference caused by transient modulation waves. As an application, a rotor unbalance experiment of rotating machinery driven by an induction motor is carried out, The result shows that the eccentricity harmonic magnitude of a current signal obtained by the method represents the rotor unbalance conditions sensitively. Vibration analysis is used to validate the proposed method. 展开更多
关键词 sensorless monitoring current harmonics adaptive signal representation rotor unbalance
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Network Sorting Algorithm of Multi-Frequency Signal with Adaptive SNR
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作者 Xinyong Yu Ying Guo +2 位作者 Kunfeng Zhang Lei Li Hongguang Li 《Journal of Beijing Institute of Technology》 EI CAS 2018年第2期206-212,共7页
An signal noise ratio( SNR) adaptive sorting algorithm using the time-frequency( TF)sparsity of frequency-hopping( FH) signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformat... An signal noise ratio( SNR) adaptive sorting algorithm using the time-frequency( TF)sparsity of frequency-hopping( FH) signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined condition; then the SNR adaptive pivot threshold setting method is used to find the TF single source. The mixed matrix is estimated according to the TF matrix of single source. Lastly,signal sorting is realized through improved subspace projection combined with relative power deviation of source. Theoretical analysis and simulation results showthat this algorithm has good effectiveness and performance. 展开更多
关键词 frequency-hopping(FH) under-determined adaptive signal noise ratio(SNR) time-frequency(TF) signal source network sorting
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Parametric adaptive time-frequency representation based on time-sheared Gabor atoms 被引量:2
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作者 Ma Shiwei Zhu Xiaojin Chen Guanghua Wang Jian Cao Jialin 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第1期1-7,共7页
A localized parametric time-sheared Gabor atom is derived by convolving a linear frequency modulated factor, modulating in frequency and translating in time to a dilated Gaussian function, which is the generalization ... A localized parametric time-sheared Gabor atom is derived by convolving a linear frequency modulated factor, modulating in frequency and translating in time to a dilated Gaussian function, which is the generalization of Gabor atom and is more delicate for matching most of the signals encountered in practice, especially for those having frequency dispersion characteristics. The time-frequency distribution of this atom concentrates in its time center and frequency center along energy curve, with the curve being oblique to a certain extent along the time axis. A novel parametric adaptive time-frequency distribution based on a set of the derived atoms is then proposed using a adaptive signal subspace decomposition method in frequency domain, which is non-negative time-frequency energy distribution and free of cross-term interference for multicomponent signals. The results of numerical simulation manifest the effectiveness of the approach in time-frequency representation and signal de-noising processing. 展开更多
关键词 Time-frequency analysis Gabor atom Time-shear Adaptive signal decomposition Time-frequency distribution.
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Rolling Bearing Feature Frequency Extraction using Extreme Average Envelope Decomposition 被引量:4
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作者 SHI Kunju LIU Shulin +1 位作者 JIANG Chao ZHANG Hongli 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2016年第5期1029-1036,共8页
The vibration signal contains a wealth of sensitive information which reflects the running status of the equipment. It is one of the most important steps for precise diagnosis to decompose the signal and extracts the ... The vibration signal contains a wealth of sensitive information which reflects the running status of the equipment. It is one of the most important steps for precise diagnosis to decompose the signal and extracts the effective information properly. The traditional classical adaptive signal decomposition method, such as EMD, exists the problems of mode mixing, low decomposition accuracy etc. Aiming at those problems, EAED(extreme average envelope decomposition) method is presented based on EMD. EAED method has three advantages. Firstly, it is completed through midpoint envelopment method rather than using maximum and minimum envelopment respectively as used in EMD. Therefore, the average variability of the signal can be described accurately. Secondly, in order to reduce the envelope errors during the signal decomposition, replacing two envelopes with one envelope strategy is presented. Thirdly, the similar triangle principle is utilized to calculate the time of extreme average points accurately. Thus, the influence of sampling frequency on the calculation results can be significantly reduced. Experimental results show that EAED could separate out single frequency components from a complex signal gradually. EAED could not only isolate three kinds of typical bearing fault characteristic of vibration frequency components but also has fewer decomposition layers. EAED replaces quadratic enveloping to an envelope which ensuring to isolate the fault characteristic frequency under the condition of less decomposition layers. Therefore, the precision of signal decomposition is improved. 展开更多
关键词 adaptive signal decomposition extreme average envelope decomposition EMD fault diagnosis
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BLIND ADAPTIVE MULTIUSER DETECTION BASED ON A CONSTRAINED MMSE CRITERION 被引量:1
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作者 TianLibin ChenFangjiong WeiGang 《Journal of Electronics(China)》 2004年第4期328-331,共4页
The proposed blind adaptive multiuser detector utilizes the signature waveform and time information of the desired user. With each received sample vector, the proposed algorithm updates the detector and gives the symb... The proposed blind adaptive multiuser detector utilizes the signature waveform and time information of the desired user. With each received sample vector, the proposed algorithm updates the detector and gives the symbol estimate in the current time slot. Such property facilitates it to track time-varying channels. 展开更多
关键词 Spread spectrum communication Fading channel Adaptive signal processing
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Unintentional modulation microstructure enlargement 被引量:1
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作者 SUN Liting WANG Xiang HUANG Zhitao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第3期522-533,共12页
Radio frequency fingerprinting(RFF)is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level,device-specific imperfections.The RF... Radio frequency fingerprinting(RFF)is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level,device-specific imperfections.The RFF-related information is mainly in the form of unintentional modulation(UIM),which is subtle enough to be effectively imperceptible and is submerged in the intentional modulation(IM).It is necessary to minimize the influence of the IM and expand the slight differences between emitters for successful RFF.This paper proposes a UIM microstructure enlargement(UMME)method based on feature-level adaptive signal decomposition(ASD),accompanied by autocorrelation and cross-correlation analysis.The common IM part is evaluated by analyzing a newly-defined benchmark feature.Three different indexes are used to quantify the similarity,distance,and dependency of the RFF features from different devices.Experiments are conducted based on the real-world signals transmitted from 20 of the same type of radar in the same working mode.The visual image qualitatively shows the magnification of feature differences;different indicators quantitatively describe the changes in features.Compared with the original RFF feature,recognition results based on the Gaussian mixture model(GMM)classifier further validate the effectiveness of the proposed algorithm. 展开更多
关键词 radio frequency fingerprinting(RFF) unintentional modulation(UIM) adaptive signal decomposition(ASD) variational mode decomposition(VMD) similarity measurement
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Enhanced performance of triboelectric mechanical motion sensor via continuous charge supplement and adaptive signal processing 被引量:1
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作者 Zitang Yuan Xiaosong Zhang +4 位作者 Hengyu Li Ping Shen Jianming Wen Zhong Lin Wang Tinghai Cheng 《Nano Research》 SCIE EI CSCD 2023年第7期10263-10271,共9页
The development of automation industry is inseparable from the progress of sensing technology.As a promising self-powered sensing technology,the durability and stability of triboelectric sensor(TES)have always been in... The development of automation industry is inseparable from the progress of sensing technology.As a promising self-powered sensing technology,the durability and stability of triboelectric sensor(TES)have always been inevitable challenges.Herein,a continuous charge supplement(CCS)strategy and an adaptive signal processing(ASP)method are proposed to improve the lifetime and robustness of TES.The CCS uses low friction brushes to increase the surface charge density of the dielectric,ensuring the reliability of sensing.A triboelectric mechanical motion sensor(TMMS)with CCS is designed,and its electrical signal is hardly attenuated after 1.5 million cycles after reasonable parameter optimization,which is unprecedented in linear TESs.After that,the dynamic characteristics of the CCS-TMMS are analyzed with error rates of less than 1%and 2%for displacement and velocity,respectively,and a signal-to-noise ratio of more than 35 dB.Also,the ASP used a signal conditioning circuit for impedance matching and analog-to-digital conversion to achieve a stable output of digital signals,while the integrated design and manufacture of each hardware module is achieved.Finally,an intelligent logistics transmission system(ILTS)capable of wirelessly monitoring multiple motion parameters is developed.This work is expected to contribute to automation industries such as smart factories and unmanned warehousing. 展开更多
关键词 triboelectric mechanical motion sensor continuous charge supplement adaptive signal processing durability and stability multiple motion parameters monitoring
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Two-Dimensional Direction Finding via Sequential Sparse Representations
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作者 Yougen Xu Ying Lu +1 位作者 Yulin Huang Zhiwen Liu 《Journal of Beijing Institute of Technology》 EI CAS 2018年第2期169-175,共7页
The problem of two-dimensional direction finding is approached by using a multi-layer Lshaped array. The proposed method is based on two sequential sparse representations,fulfilling respectively the estimation of elev... The problem of two-dimensional direction finding is approached by using a multi-layer Lshaped array. The proposed method is based on two sequential sparse representations,fulfilling respectively the estimation of elevation angles,and azimuth angles. For the estimation of elevation angles,the weighted sub-array smoothing technique for perfect data decorrelation is used to produce a covariance vector suitable for exact sparse representation,related only to the elevation angles. The estimates of elevation angles are then obtained by sparse restoration associated with this elevation angle dependent covariance vector. The estimates of elevation angles are further incorporated with weighted sub-array smoothing to yield a second covariance vector for precise sparse representation related to both elevation angles,and azimuth angles. The estimates of azimuth angles,automatically paired with the estimates of elevation angles,are finally obtained by sparse restoration associated with this latter elevation-azimuth angle related covariance vector. Simulation results are included to illustrate the performance of the proposed method. 展开更多
关键词 array signal processing adaptive array direction finding sparse representation
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Research of Modified LMS Adaptive Noise Cancellation
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作者 YANG Ming sheng, LI Yan peng ATR Key Laboratory, National University of Defense Technology, Changsha 410073, P.R.China 《International Journal of Plant Engineering and Management》 2003年第4期239-245,共7页
Noise cancellation is very important in the field of signal processing. Inthis paper, the designation of a modified LMS Adaptive Noise Cancellation is demonstrated in detail;the model is simulated. We have compared th... Noise cancellation is very important in the field of signal processing. Inthis paper, the designation of a modified LMS Adaptive Noise Cancellation is demonstrated in detail;the model is simulated. We have compared the performance of the new model with the old model. Theresult of the experiments shows that this designation improves the noise cancellation's performancegreatly. 展开更多
关键词 adaptive signal processing signal white noise
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A multi process value-based reinforcement learning environment framework for adaptive traffic signal control
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作者 Jie Cao Dailin Huang +1 位作者 Liang Hou Jialin Ma 《Journal of Control and Decision》 EI 2023年第2期229-236,共8页
Realising adaptive traffic signal control(ATSC)through reinforcement learning(RL)is an important means to easetraffic congestion.This paper finds the computing power of the central processing unit(CPU)cannot fully use... Realising adaptive traffic signal control(ATSC)through reinforcement learning(RL)is an important means to easetraffic congestion.This paper finds the computing power of the central processing unit(CPU)cannot fully usedwhen Simulation of Urban MObility(SUMO)is used as an environment simulator for RL.We propose a multi-process framework under value-basedRL.First,we propose a shared memory mechanism to improve exploration efficiency.Second,we use the weight sharing mechanism to solve the problem of asynchronous multi-process agents.We also explained the reason shared memory in ATSC does not lead to early local optima of the agent.Wehave verified in experiments the sampling efficiency of the 10-process method is 8.259 times that of the single process.The sampling efficiency of the 20-process method is 13.409 times that of the single process.Moreover,the agent can also converge to the optimal solution. 展开更多
关键词 Adaptive traffic signal control Simulation of Urban MObility MULTI-PROCESS reinforcement learning value-based
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Optimization of Adaptive Transit Signal Priority Using Parallel Genetic Algorithm 被引量:15
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作者 Guangwei Zhou Albert Gan L. David Shen 《Tsinghua Science and Technology》 SCIE EI CAS 2007年第2期131-140,共10页
Optimization of adaptive traffic signal timing is one of the most complex problems in traffic control systems. This paper presents an adaptive transit signal priority (TSP) strategy that applies the parallel genetic... Optimization of adaptive traffic signal timing is one of the most complex problems in traffic control systems. This paper presents an adaptive transit signal priority (TSP) strategy that applies the parallel genetic algorithm (PGA) to optimize adaptive traffic signal control in the presence of TSP. The method can optimize the phase plan, cycle length, and green splits at isolated intersections with consideration for the performance of both the transit and the general vehicles. A VISSIM (VISual SIMulation) simulation testbed was developed to evaluate the performance of the proposed PGA-based adaptive traffic signal control with TSP. The simulation results show that the PGA-based optimizer for adaptive TSP outperformed the fully actuated NEMA control in all test cases. The results also show that the PGA-based optimizer can produce TSP timing plans that benefit the transit vehicles while minimizing the impact of TSP on the general vehicles. 展开更多
关键词 adaptive traffic signal control transit signal priority parallel genetic algorithm traffic simulation traffic delay
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Adaptive green traffic signal controlling using vehicular communication 被引量:3
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作者 Erfan SHAGHAGHI Mohammad Reza JABBARPOUR +2 位作者 Rafidah MD NOOR Hwasoo YEO Jason J.JUNG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第3期373-393,共21页
The importance of using adaptive traffic signal control for figuring out the unpredictable traffic congestion in today's metropolitan life cannot be overemphasized. The vehicular ad hoc network(VANET), as an integ... The importance of using adaptive traffic signal control for figuring out the unpredictable traffic congestion in today's metropolitan life cannot be overemphasized. The vehicular ad hoc network(VANET), as an integral component of intelligent transportation systems(ITSs), is a new potent technology that has recently gained the attention of academics to replace traditional instruments for providing information for adaptive traffic signal controlling systems(TSCSs). Meanwhile, the suggestions of VANET-based TSCS approaches have some weaknesses:(1) imperfect compatibility of signal timing algorithms with the obtained VANET-based data types, and(2) inefficient process of gathering and transmitting vehicle density information from the perspective of network quality of service(Qo S). This paper proposes an approach that reduces the aforementioned problems and improves the performance of TSCS by decreasing the vehicle waiting time, and subsequently their pollutant emissions at intersections. To achieve these goals, a combination of vehicle-to-vehicle(V2V) and vehicle-to-infrastructure(V2I) communications is used. The V2 V communication scheme incorporates the procedure of density calculation of vehicles in clusters, and V2 I communication is employed to transfer the computed density information and prioritized movements information to the road side traffic controller. The main traffic input for applying traffic assessment in this approach is the queue length of vehicle clusters at the intersections. The proposed approach is compared with one of the popular VANET-based related approaches called MC-DRIVE in addition to the traditional simple adaptive TSCS that uses the Webster method. The evaluation results show the superiority of the proposed approach based on both traffic and network Qo S criteria. 展开更多
关键词 Vehicular ad hoc network(VANET) Intelligent transportation systems(ITSs) CLUSTERING Adaptive traffic signal control Traffic controller Fuel consumption
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An approach for parameter estimation of combined CPPM and LFM radar signal 被引量:3
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作者 Zhang Wei Xiong Ying +2 位作者 Wang Pei Wang Jun Tang Bin 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第4期986-992,共7页
In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic count... In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval (PRI) of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform (CHT) algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio (SNR) is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples. 展开更多
关键词 Chaotic pulse position modulation Combined radar signal Cyclic autocorrelation Electronic countermeasures Hough transform Linear frequency modulation Volterra adaptive filter
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New insights into plant nutrient signaling and adaptation to fluctuating environments
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作者 Xiangdong Fu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2016年第11期621-622,共2页
Over the past 50 years, the Green Revolution and exploitation of heterosis have allowed cereal grain yield to keep pace with world- wide population growth. Unfortunately, plant growth and crop productivity are heavily... Over the past 50 years, the Green Revolution and exploitation of heterosis have allowed cereal grain yield to keep pace with world- wide population growth. Unfortunately, plant growth and crop productivity are heavily dependent on the application of synthetic fertilizers. 展开更多
关键词 AMT New insights into plant nutrient signaling and adaptation to fluctuating environments PUE PI
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Detection of transient evoked otoacoustic emissions by adaptive signal enhancement
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作者 YE Wanxing YE Datian CAO Yu(Biomedical Engineering Institute, Dept. of Electrical Engineering, Tsinghua University Beijing 100084) 《Chinese Journal of Acoustics》 2003年第4期302-313,共12页
Otoacoustic emissions (OAEs) has been considered as an excellent objective tool in clinics for diagnosing hearing loss. The signal-to-noise ratio (SNR) and correlation coefficient of OAEs are very important for the pu... Otoacoustic emissions (OAEs) has been considered as an excellent objective tool in clinics for diagnosing hearing loss. The signal-to-noise ratio (SNR) and correlation coefficient of OAEs are very important for the purpose of diagnosis. An adaptive signal enhancer (ASE) based on the Least Mean Square (LMS) algorithm is presented to detect transient evoked OAEs (TEOAEs). The TEOAEs detection results from 106 ears show that ASE reaches better estimation of TEOAEs than a conventional ensemble averaging (EA) technique. With the ASE, the improvement of SNR was increased faster than that with the EA and the number of sweeps required can be markedly reduced. The detection time with ASE could be shortened by about 50% in comparison with that of EA. 展开更多
关键词 of in ASE Detection of transient evoked otoacoustic emissions by adaptive signal enhancement by IS that
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Application of the direct blast adaptive suppression method to the forward scattered broadband signals 被引量:4
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作者 HE Chuanlin YANG Kunde +1 位作者 MA Yuanliang LEI Bo 《Chinese Journal of Acoustics》 CSCD 2016年第4期348-358,共11页
The basic principles of target detection by forward acoustic scattering are presented.A direct blast suppression approach based on adaptive filtering(DBS-AF) is proposed to suppress the direct blast.The DBS-AF techniq... The basic principles of target detection by forward acoustic scattering are presented.A direct blast suppression approach based on adaptive filtering(DBS-AF) is proposed to suppress the direct blast.The DBS-AF technique is extended to the linear frequency modulation(LFM) signal,where the envelope of the signal is regarded as a 'general waveform' and imported into the adaptive filter.Application of the DBS-AF method to the data collected from a lake trial yields an output detection curve,in which the direct blast is mapped to the background while the acoustic field aberration is represented by the peak value fluctuation.The inhibitory effect in single hydrophone is approximately- 5 dB,and is then enhanced by exploiting the mean value removal approach as a preprocessing technique.The direct blast is further suppressed to a level of-10 dB by making full use of multichannel receptions.The main factors affecting the algorithm performance are as follows:the fluctuation degree of the receptions during the weighting vector training period and the power ratio of the forward scattered wave to the direct blast when the target is present. 展开更多
关键词 Application of the direct blast adaptive suppression method to the forward scattered broadband signals
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