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Signal-to-noise ratio comparison of angular signal radiography and phase stepping method
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作者 Wali Faiz 朱佩平 +4 位作者 胡仁芳 高昆 吴朝 鲍园 田扬超 《Chinese Physics B》 SCIE EI CAS CSCD 2017年第12期173-178,共6页
Grating-based x-ray phase contrast imaging has the potential to be applied in future medical applications as it is compatible with both laboratory and synchrotron source. However, information retrieval methods are imp... Grating-based x-ray phase contrast imaging has the potential to be applied in future medical applications as it is compatible with both laboratory and synchrotron source. However, information retrieval methods are important because acquisition speed, scanning mode, image quality, and radiation dose depend on them. Phase-stepping (PS) is a widely used method to retrieve information, while angular signal radiography (ASR) is a newly established method. In this manuscript, signal-to-noise ratios (SNRs) of ASR are compared with that of PS. Numerical experiments are performed to validate theoretical results. SNRs comparison shows that for refraction and scattering images ASR has higher SNR than PS method, while for absorption image both methods have same SNR. Therefore, our conclusions would have guideline in future preclinical and clinical applications. 展开更多
关键词 angular signal radiography (ASR) phase-stepping (PS) signal-to-noise ratio (snrs) information retrieval method
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THE METHOD OF SEPARATING HARMONIC SIGNALS FROM MULTIPLICATIVE AND ADDITIVE NOISES
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作者 Fan Yangyu Zhang Zhengwei +2 位作者 Wei Xiaorong Zeng Li Wei Wei 《Journal of Electronics(China)》 2007年第6期753-759,共7页
This paper focuses on the extraction of a harmonic signal from multiplicative and additive noises. A method is proposed in two stages: (1) to square the original discrete time series, which includes both signals an... This paper focuses on the extraction of a harmonic signal from multiplicative and additive noises. A method is proposed in two stages: (1) to square the original discrete time series, which includes both signals and noises, and form a new time series. By this means, the multiplicative noise is converted to additive noise; and (2) to filter out the noise by using existing noise removal schemes. With a large amount of simulation, experimental results demonstrated the efficiency and effectiveness of this newly developed method in terms of Signal-to-Noise Ratio (SNR) and other criteria. Prom the experiment, it is also found that: the two kinds of noises affect the SNR differently. In general, the SNR is not influenced by multiplicative Gaussian noise regardless of its variance. However, if both kinds of noise exist, the SNR decreases with the incensement of the Variance of Additive Noise to Multiplicative Noise Ratio (VAMNR). This analysis is also supported by simulation work. 展开更多
关键词 Harmonic signal Multiplicative noise Additive noise signal-to-noise ratio (snr Variance
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New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals
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作者 Mohammad Monirujjaman Khan Ratil Hasnat Ashique +3 位作者 Badrun Naher Liya Md. Mohsin Sajjad Md. Anisur Rahman M. T. Hasan Amin 《Journal of Electromagnetic Analysis and Applications》 2015年第3期53-60,共8页
Underwater Wireless Communication, largely dependent on the acoustic communication between the machines, is largely affected by various types of noise in the shallow and deep water. However ambient noise which is due ... Underwater Wireless Communication, largely dependent on the acoustic communication between the machines, is largely affected by various types of noise in the shallow and deep water. However ambient noise which is due to multiple sources (e.g. shipping, wind) and no one source dominates. Ambient noise masks the acoustic signal to a large extent. Hence today it has drawn the attention of the experts to reduce its effect on the received signal. This paper discusses ambient noise problem and devises a new wavelet thresholding method to reduce its effect. Afterwards a comparative study on statistical parameters is shown to prove the efficiency of the devised method. 展开更多
关键词 Ambient noise Wavelet Transform Thresholding signal to noise ratio (snr) ROOT Mean SQUARE Error (RMSE) Power Spectral Density (PSD) PERCENTAGE ROOT Mean SQUARE Difference (PRD)
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Long term integration of radar signals with unknown Doppler shift for ubiquitous radar 被引量:4
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作者 Qinglong Bao Zengping Chen Yue Zhang Jian Yang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第2期219-227,共9页
Ubiquitous radar is a new radar system that provides continuous and uninterrupted multifunction capability within a coverage volume. Continuous coverage from close-in "pop-up" targets in clutter to long-range target... Ubiquitous radar is a new radar system that provides continuous and uninterrupted multifunction capability within a coverage volume. Continuous coverage from close-in "pop-up" targets in clutter to long-range targets impacts selection of waveform parameters. The coherent processing interval (CPI) must be long enough to achieve a certain signal-to-noise ratio (SNR) that ensures the efficiency of detection. The condition of detection in the case of low SNR is analyzed, and three different cases that would occur during integration are discussed and a method to determine the CPI is presented. The simulation results show that targets detection with SNR as low as -26 dB in the experimental system can possibly determine the CPI. 展开更多
关键词 ubiquitous radar low signal-to-noise ratio (snr coherent processing interval (CPI) coherent integration non-coherent integration.
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A NOVEL METHOD FOR ESTIMATING THE SNR OF UNKNOWN EMITTER SIGNAL 被引量:4
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作者 Han Jun He Minghao +1 位作者 Tang Zhikai Hao Yuan 《Journal of Electronics(China)》 2010年第1期134-138,共5页
It is important to estimate the Signal-to-Noise Ratio(SNR) of unknown emitter signal accurately.In order to resolve the disadvantages of present algorithm,a novel method is proposed in this letter.We extract and norma... It is important to estimate the Signal-to-Noise Ratio(SNR) of unknown emitter signal accurately.In order to resolve the disadvantages of present algorithm,a novel method is proposed in this letter.We extract and normalize the information of zero frequency of received signal by the Wigner-Vile Distribution(WVD) transformation and then get the approximate power of original signal by mathematic transformation,at last,we get the estimate value of SNR by the known account formula of SNR.Simulation results show that it is correct and feasible. 展开更多
关键词 signal-to-noise ratio(snr) estimation Wigner-Vile Distribution(WVD) transformation signal power
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Nonsaturation Throughput Enhancement of IEEE 802.11b Distributed Coordination Function for Heterogeneous Traffic under Noisy Environment 被引量:5
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作者 Dhanasekaran Senthilkumar A. Krishnan 《International Journal of Automation and computing》 EI 2010年第1期95-104,共10页
In this paper, we propose a mechanism named modified backoff (MB) mechanism to decrease the channel idle time in IEEE 802.11 distributed coordination function (DCF). In the noisy channel, when signal-to-noise rat... In this paper, we propose a mechanism named modified backoff (MB) mechanism to decrease the channel idle time in IEEE 802.11 distributed coordination function (DCF). In the noisy channel, when signal-to-noise ratio (SNR) is low, applying this mechanism in DCF greatly improves the throughput and lowers the channel idle time. This paper presents an analytical model for the performance study of IEEE 802.11 MB-DCF for nonsaturated heterogeneous traffic in the presence of transmission errors. First, we introduce the MB-DCF and compare its performance to IEEE 802.11 DCF with binary exponential backoff (BEB). The IEEE 802.11 DCF with BEB mechanism suffers from more channel idle time under low SNR. The MB-DCF ensures high throughput and low packet delay by reducing the channel idle time under the low traffic in the network. However, to the best of the authors' knowledge, there are no previous works that enhance the performance of the DCF under imperfect wireless channel. We show through analysis that the proposed mechanism greatly outperforms the original IEEE 802.11 DCF in the imperfect channel condition. The effectiveness of physical and link layer parameters on throughput performance is explored. We also present a throughput investigation of the heterogeneous traffic for different radio conditions. 展开更多
关键词 IEEE 802.11 medium access control (MAC) distributed coordination function (DCF) nonsaturated traffic heteroge- neous traffic signal-to-noise ratio (snr binary exponential backoff (BEB).
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Hardware implementation of adaptive filter for noise cancellation using TMS320C6713
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作者 Swati S Godbole Sanjay B Pokle 《Journal of Measurement Science and Instrumentation》 CAS 2014年第3期38-47,共10页
Daily, we experience the effects of audio noise, which contaminates the original information bearing signal with noise from its surrounding environment. This paper focuses on real-time hardware implementation of multi... Daily, we experience the effects of audio noise, which contaminates the original information bearing signal with noise from its surrounding environment. This paper focuses on real-time hardware implementation of multi-tap adaptive noise cancellation (ANC) system by using the least mean square (LMS) algorithm on TMS320C6713 to remove undesired noise from a received signal for various audio related applications. Three different experiments are carried out by considering different audio inputs to test the efficiency of the designed ANC system. The 'C' code implementation of LMS algorithm is introduced and simulated in code composer studio (CCS), then realized on the digital signal processor (DSP) C6713. The 300 Hz, 500 Hz, 800 Hz, 1 kHz and 3 kHz of tone signals and male speech signal are used as the reference inputs to trace the noise of signal until it is eliminated. The performance of ANC system is studied in terms of convergence speed, order of the filter and signal-to-noise ratio (SNR). The experimentam results demonstrate that the designed system shows a consider- able improvement in SNR. 展开更多
关键词 adaptive noise cancellation (ANC) digital signal processor (DSP) mean square error (MSE) least mean squarealgorithm (LMS) TMS320C6713 DSK code composer studio (CCS) signal-to-noise ratio (snr
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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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红外遥感相机成像参数优化研究
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作者 金占雷 晋利兵 +8 位作者 董杰 吕玮东 练敏隆 胡斌 徐丽娜 迟冬南 邓旭光 张九双 王斌 《激光与红外》 CAS CSCD 北大核心 2024年第6期929-934,共6页
为了更好地优化红外遥感相机成像参数,文章首次提出信噪比-动态范围积相机性能综合评价指标。建立了红外遥感相机的噪声电压模型并深入分析噪声影响,当恒定噪声电压项远大于时变噪声电压项时噪声电压模型可以近似简化为线性模型。进而... 为了更好地优化红外遥感相机成像参数,文章首次提出信噪比-动态范围积相机性能综合评价指标。建立了红外遥感相机的噪声电压模型并深入分析噪声影响,当恒定噪声电压项远大于时变噪声电压项时噪声电压模型可以近似简化为线性模型。进而建模分析了积分电容和积分时间对信噪比和动态范围的影响,并首次提出信噪比-动态范围积作为相机性能评价的指标。信噪比-动态范围积随着积分时间同步增大,积分时间较小时增速较快,积分时间较大时增速迅速下降;信噪比-动态范围积随着积分电容的增大先增加后减小,存在极值。研究结果对红外遥感相机的参数优化设计具有重要作用。 展开更多
关键词 红外遥感噪声 信噪比 动态范围 信噪比-动态范围积
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自适应动态滤波网络地震随机噪声压制方法
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作者 徐彦凯 王迪 +2 位作者 李宜真 曹思远 郝越翔 《石油地球物理勘探》 EI CSCD 北大核心 2024年第4期736-744,共9页
由于地质及环境条件复杂,导致地震勘探采集资料信噪比相对较低,对后续的研究带来不利影响,因此地震勘探数据处理中对随机噪声的压制一直备受关注。现有算法无法较好实现对噪声的有效压制和对有效信号的极大保留,为此,将传统方法和深度... 由于地质及环境条件复杂,导致地震勘探采集资料信噪比相对较低,对后续的研究带来不利影响,因此地震勘探数据处理中对随机噪声的压制一直备受关注。现有算法无法较好实现对噪声的有效压制和对有效信号的极大保留,为此,将传统方法和深度学习相结合,提出了基于自适应动态滤波网络(Adaptive Dynamic Filtering Net,ADFNet)的方法压制地震资料中的随机噪声。该网络以编码器—解码器为架构,首先引入通道注意力机制(Attention Mechanism,AM)的思想,通过通道AM对空洞卷积多尺度数据特征集成,为网络提供了精准且丰富的特征表示;然后,引入动态卷积,以较低的计算复杂度实现对地震资料高频特征的学习,从而保留更丰富的细节信息。合成数据和实际数据的实验结果均表明,ADFNet可有效压制地震资料中的随机噪声,同时保留更丰富的地震数据细节,处理后的地震数据信噪比得到显著提升。 展开更多
关键词 深度学习 通道注意力机制 动态卷积 残差学习 信噪比
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基于FRFT的低信噪比LFM信号参数快速估计算法 被引量:1
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作者 东锦鹏 陈世文 +1 位作者 杨锦程 韩啸 《指挥控制与仿真》 2024年第1期71-77,共7页
基于分数阶傅里叶变换(Fractional Fourier Transform,FRFT)对线性调频(Linear Frequency Modulated,LFM)信号参数进行估计,问题关键是确定FRFT最佳阶数,根据误差迭代思想提出新的参数估计算法,该算法利用归一化带宽和旋转角的转化关系... 基于分数阶傅里叶变换(Fractional Fourier Transform,FRFT)对线性调频(Linear Frequency Modulated,LFM)信号参数进行估计,问题关键是确定FRFT最佳阶数,根据误差迭代思想提出新的参数估计算法,该算法利用归一化带宽和旋转角的转化关系,由估计误差推算角度差值,有效降低了运算量,不需要调频斜率正负的先验信息,改进的对数搜索算法可以进一步提高参数估计结果的稳定性和可靠性。仿真结果表明,信噪比在-8 dB以上时该方法在高效率的前提下仍具有良好的参数估计性能,平均估计误差在1%以内,估计结果接近Cramer-Rao下限,满足工程实时处理需求。 展开更多
关键词 低信噪比 分数阶傅里叶变换 线性调频信号 参数估计
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简易烈度计记录的噪声水平评价:以泸定M_(S)6.8级地震为例
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作者 郭文轩 任叶飞 +4 位作者 姚鑫鑫 岸田忠大 江鹏 王宏伟 温瑞智 《振动与冲击》 EI CSCD 北大核心 2024年第18期313-320,共8页
在我国地震预警和烈度速报系统中,烈度计被广泛使用。烈度计的频谱特征主要是通过检定实验室进行标定,但在破坏性地震中,烈度计响应特点缺少必要的研究分析。该文以2022年四川泸定M_(S)6.8级地震为例,对比分析了烈度计记录和强震仪记录... 在我国地震预警和烈度速报系统中,烈度计被广泛使用。烈度计的频谱特征主要是通过检定实验室进行标定,但在破坏性地震中,烈度计响应特点缺少必要的研究分析。该文以2022年四川泸定M_(S)6.8级地震为例,对比分析了烈度计记录和强震仪记录在噪声水平、信噪比(signal-to-noise ratio,SNR)、高通滤波截止频率(f_(HP))取值以及有效周期范围(T_(max))方面的特点,综合评价了烈度计记录的频谱特征,分析了噪声影响。得到以下结论:在整个频域范围内,烈度计记录的SNR要比强震仪记录平均意义上低一个数量级,可以估计烈度计动态范围较强震仪大致低20 dB;烈度计记录的最佳f_(HP)取值相较于强震仪记录存在更大的不确定性,尤其是在竖直方向上;烈度计记录的最佳f_(HP)取值更大,反应谱T_(max)较传统强震仪记录在水平方向小1~2 s,在竖直方向小3 s左右。该研究结果有助于合理应用烈度计记录,服务地震学和地震工程学相关研究。 展开更多
关键词 烈度计记录 信噪比(snr) 高通滤波截止频率 有效周期范围 泸定6.8级地震
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GEO卫星机会源近岸海面高度测量性能评估
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作者 王峰 杨东凯 《电子学报》 EI CAS CSCD 北大核心 2024年第3期719-728,共10页
基于同步地球轨道(Geostationary Earth Orbit,GEO)卫星的机会源技术已被证明其在近岸海面高度测量中的应用潜力,但目前研究主要围绕可行性论证展开,极少开展全方位的测量性能评估.为此,从仿真和试验两个角度评估了信号带宽、非相干累... 基于同步地球轨道(Geostationary Earth Orbit,GEO)卫星的机会源技术已被证明其在近岸海面高度测量中的应用潜力,但目前研究主要围绕可行性论证展开,极少开展全方位的测量性能评估.为此,从仿真和试验两个角度评估了信号带宽、非相干累加次数、信噪比及波形峰值跟踪算法对GEO卫星机会源海面测高性能的影响.评估结果表明当非相干累加次数和信噪比大于最优非相干累加次数和最优信噪比时,测高性能将不再显著提升.因此,通过选择最优非相干累加次数,以及设计合理的接收天线增益、射频增益及接收机带宽使信噪比大于最优信噪比对GEO卫星机会源海面测高至关重要.通过对比插值和拟合两种波形跟踪算法发现拟合法能提供比插值法更高的测量精度.利用北斗B3I信号和ASTRA 19.2 E卫星信号开展GEO卫星海面测高的试验评估.试验结果表明:在非相干累加次数大于10000、信噪比大于7 dB时,北斗B3I信号和ASTRA 19.2 E卫星信号可分别提供精度约为0.20 m和0.10 m的海面高度.针对GEO卫星多频或多通道传输特点,提出了基于信号频谱合成提高海面测高精度的方法.当利用中卫1号卫星10个通道信号进行合成时,插值法和拟合法的仿真测距精度分别为3.50 cm和0.69 cm. 展开更多
关键词 地球同步轨道卫星 机会源遥感 海面高度 信号带宽 信噪比 非相干累加
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基于自动增益控制的信号量化损耗分析
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作者 王彦 陈校非 荆文芳 《全球定位系统》 CSCD 2024年第2期36-42,共7页
在卫星信号接收的过程中,量化是模数转换的重要环节,信号量化会带来能量损失,对于信号后续的处理产生影响,根据信号特性选取合适的量化位数和系统基准功率可以有效改善这种损失.本文采用量化前后信号信噪比(signal to noise ratio,SNR)... 在卫星信号接收的过程中,量化是模数转换的重要环节,信号量化会带来能量损失,对于信号后续的处理产生影响,根据信号特性选取合适的量化位数和系统基准功率可以有效改善这种损失.本文采用量化前后信号信噪比(signal to noise ratio,SNR)对比的形式来直观表示量化损耗,并给出了一般性分析公式.说明了自动增益控制(automatic gain control,AGC)模块在信号量化中的作用,结合量化损耗公式,通过确定最佳增益系数给出了一种基准功率的选取方式,使得不同SNR的信号量化损耗明显降低.仿真结果表明:在低位量化时,该方式对卫星导航信号的量化损耗能改善约1.5 dB.该分析对于接收机的设计以及工程实现具有一定的参考意义. 展开更多
关键词 量化 增益控制 信噪比(snr) A/D转化 基准功率 接收机
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Slab Yb:YAG pulse amplifier with high amplification gain and signal-to-noise ratio
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作者 Jun LIU Jianguo XIN +1 位作者 Ye LANG Jiabin CHEN 《Frontiers of Optoelectronics》 EI CSCD 2017年第1期51-56,共6页
This study experimentally investigated a Yb: YAG pulse laser amplifier with a high amplification gain and a high signal-to-noise ratio (SNR). The highest amplification gain of 172 and highest pulse energy of 131 mJ... This study experimentally investigated a Yb: YAG pulse laser amplifier with a high amplification gain and a high signal-to-noise ratio (SNR). The highest amplification gain of 172 and highest pulse energy of 131 mJ were obtained with the highest SNR of 24.9 dB from a volume gain of 10 mm × 10 mm × 1 mm. The output beam quality values ofM2 = 1.91 in the slow axis and M2 = 1.58 in the fast axis were also achieved. 展开更多
关键词 laser amplifiers ytterbium lasers diode-pumped lasers signal-to-noise ratio (snr
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基于改进小波阈值的数据采集系统降噪研究
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作者 刘玉玉 李杰 +3 位作者 马喜宏 孙宁 王涛 高屾林 《电子设计工程》 2024年第19期124-128,134,共6页
在数据采集过程中,噪声和干扰的存在严重影响了数据的准确性。为了获得质量较高的数据,减少噪声的影响,该文提出一种基于遗传算法的小波阈值函数去噪方法,并设计以FPGA为主控的数据采集系统进行了多次实验。实验结果表明,经改进算法处... 在数据采集过程中,噪声和干扰的存在严重影响了数据的准确性。为了获得质量较高的数据,减少噪声的影响,该文提出一种基于遗传算法的小波阈值函数去噪方法,并设计以FPGA为主控的数据采集系统进行了多次实验。实验结果表明,经改进算法处理过的数据信噪比达到了芯片手册中所规定的典型值大小。同时,相比传统的阈值函数去噪方法,将新算法应用于采集到的数据,其信噪比提高了7.0248 dB,均方根误差降低了0.1675,表现出了较好的去噪性能,具有较高的工程应用价值。 展开更多
关键词 数据采集系统 小波阈值去噪 遗传算法 信噪比
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幅相误差对体积阵MVDR波束形成的影响
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作者 黄燕 焦君圣 +1 位作者 郭世旭 赵鹏 《水下无人系统学报》 2024年第1期139-146,共8页
体积阵是一种由多个水听器组成的立体阵列,能够增大潜标接收基阵的孔径,获得较大的空间增益,工程中多将其制作成具有收合、展开功能的阵列应用于低频吊放声呐。由于各水听器通道内器件参数和幅度增益不一致,体积阵的每个阵元接收到的信... 体积阵是一种由多个水听器组成的立体阵列,能够增大潜标接收基阵的孔径,获得较大的空间增益,工程中多将其制作成具有收合、展开功能的阵列应用于低频吊放声呐。由于各水听器通道内器件参数和幅度增益不一致,体积阵的每个阵元接收到的信号之间存在幅相误差。文中通过建立存在幅相误差时的双圆环体积阵模型,从统计学角度分析了幅相误差对其协方差矩阵、最小方差无畸变(MVDR)波束形成器的输出信噪比(SNR)、阵增益以及方位估计精度的影响。计算机仿真结果表明,阵列幅相误差的存在会导致MVDR波束形成器的输出SNR和阵增益降低;对于相位误差而言,当输入SNR在-5 dB以上时,这种影响随输入SNR的增大越来越明显;对于幅度误差而言,当输入SNR在-10 dB以上时,幅度误差对MVDR波束形成器的输出SNR和阵增益的影响会更显著;并且,相比于幅度误差,MVDR波束形成的方位估计精度对相位误差更加敏感。 展开更多
关键词 水听器 体积阵 幅相误差 输出信噪比 阵增益 方位估计精度
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基于逆全极点滤波器的高频PWM噪声整形方法
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作者 陈福祥 刘凯 +3 位作者 胡傲奇 张昊 赵烁 曾理湛 《电工技术学报》 EI CSCD 北大核心 2024年第10期3129-3140,共12页
高频开关功率放大器具有高功率、低纹波、高响应的优点,是高加速、高精度定位系统的核心部件。为了解决高频PWM中开关频率与占空比分辨率的矛盾,该文分析调制中噪声整形的基本原理,采用误差反馈结构提取PWM量化噪声进行数字整形,阐述噪... 高频开关功率放大器具有高功率、低纹波、高响应的优点,是高加速、高精度定位系统的核心部件。为了解决高频PWM中开关频率与占空比分辨率的矛盾,该文分析调制中噪声整形的基本原理,采用误差反馈结构提取PWM量化噪声进行数字整形,阐述噪声整形滤波器设计约束条件。提出通过逆全极点无限脉冲响应(IIR)滤波器获得有限脉冲响应(FIR)噪声整形滤波器的简明设计方法,仿真及实验表明,该文提出的方法可利用低阶FIR整形滤波器获得平坦的通带和高整形衰减。在不足9位的PWM中,4阶的FIR噪声整形滤波器能够恢复调制信号在10 kHz频段内约40 dB的信噪比损失。 展开更多
关键词 开关功率放大器 高频 PWM 噪声整形 全极点滤波器 信噪比
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基于自适应估计SNR的分组Turbo码译码算法 被引量:2
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作者 刘星成 王康 黄志军 《中山大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第5期33-37,共5页
针对分组Turbo码自适应Chase译码算法中SNR是预先设定值的情况,提出一种新的自适应估计信噪比(SNR)的译码算法。该方案利用了接收码字的统计信息与SNR之间存在的对应关系来调整门限函数,达到控制译码复杂度的目的。仿真结果表明,所提出... 针对分组Turbo码自适应Chase译码算法中SNR是预先设定值的情况,提出一种新的自适应估计信噪比(SNR)的译码算法。该方案利用了接收码字的统计信息与SNR之间存在的对应关系来调整门限函数,达到控制译码复杂度的目的。仿真结果表明,所提出的译码算法能自适应反映信道情况,降低译码运算复杂度,提高译码处理速度,获得了较好的性能。 展开更多
关键词 分组TURBO码 迭代译码 CHASE算法 信噪比(snr) 比特差错率(BER)
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低信噪比下基于深度学习TCNN-MobileNet的调制识别
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作者 牛瑞婷 严天峰 +1 位作者 高锐 王映植 《计算机工程》 CAS CSCD 北大核心 2024年第7期204-215,共12页
将深度学习算法应用于调制识别任务是近年来通信领域的一个研究热点,但现有方法存在网络复杂度高、硬件要求高、在低信噪比(SNR)下识别准确率不高等问题。结合离散小波变换方法,提出一种基于双路卷积神经网络级联可分离卷积网络(TCNN-Mo... 将深度学习算法应用于调制识别任务是近年来通信领域的一个研究热点,但现有方法存在网络复杂度高、硬件要求高、在低信噪比(SNR)下识别准确率不高等问题。结合离散小波变换方法,提出一种基于双路卷积神经网络级联可分离卷积网络(TCNN-MobileNet)的调制识别方法。首先通过小波变换对数据进行预处理,将信号作为输入传送到双路卷积神经网络中进行不同维度的特征提取;然后通过融合层进行特征融合并送入轻量级神经网络MobileNetV1中,进行调制识别模型训练;最后通过全连接层进行11种调制识别的分类输出。在公开数据集RML2016.10a上的实验结果表明,在-20dB的低SNR下TCNN-MobileNet的识别准确率可达88.71%,在18dB的高SNR下识别准确率可达96.66%,SNR在-20~18dB范围内时平均识别准确率为88.37%,相比于ResNet18、ResNet34等经典网络架构提升了约35%。TCNN-MobileNet识别方法在保证识别精度不变的情况下能够降低训练参数量以及网络训练时间,有效简化网络架构,降低对硬件设备的要求,对轻量级神经网络在调制识别中的应用具有借鉴意义。 展开更多
关键词 调制识别 卷积神经网络 小波变换 深度学习 低信噪比
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