高效的PD雷达多重频模糊分辨算法

在PD雷达中距离和速度模糊不可避免,为解模糊需要发射多重频脉冲串。该文引入一种高效的模糊分辨新算法,运算简单、计算量小、精度高、易于实时处理。利用该算法在实现模糊分辨的同时能获得好的估计性能。设计实例及数字实验说明了该方法的正确性和有效性。该算法也可用于欠采样、多基线干涉仪测向或其他类似系统进行频率、方向等参数的模糊分辨。

基于多重频脉冲串信号解速度模糊的研究

针对双重频解速度模糊系统中,信号参数选择不合理导致解速度模糊存在量化误差的问题,推导了双重频解速度模糊的量化要求。为了增大最大不模糊速度,该文提出多层解模糊系统,提出了一种四重频脉冲串解速度模糊的模型,推导了四重频信号脉冲个数的下界,并简化为了三重频脉冲串信号模型。仿真验证了理论推导的正确性。

基于速度天际线图的多重频组优化方法

在多重频(PRFs)雷达系统中,常常采用多重频参差来解决回波中的距离和多普勒模糊问题。对于低重频应用,本文提出了一种以最大化解速度模糊空间为准则的新的重频组选择方法。考虑到测量误差会对解速度模糊产生一定影响,同时速度天际线图能够反映解速度模糊余量的大小,因此本文采用遗传算法,并在优化过程中构建了以速度天际线图为核心的目标函数进行重频筛选。本文方法的有效性和可靠性通过仿真实验得以验证。

高重频PD雷达导引头抗距离遮挡技术

为了解决高重频脉冲多普勒(PD)雷达中存在着严重的距离遮挡问题,采取了多重频方法,对多重频条件下的遮挡情况进行了分析;针对距离解模糊问题,提出基于目标相关性的查表解模糊算法。分析表明,提出的消除距离遮挡方法实时性强,易于工程应用。

矿产勘查中化探异常下限的多重分形计算方法

化探异常下限计算方法在矿产勘查和资源预测中非常重要。传统的计算方法存在依据不充分的问题。这里在研究地球化学场数据分布的基础上,提出了多重含量～频数分形计算方法。研究表明,多重分形异常下限计算方法较之传统的方法具有理论基础扎实、适用性较广的特点。

Dual-band multi-beam reconfigurable terahertz antenna based on graphene frequency selective surface

In this paper,a dual-band graphene-based frequency selective surface(GFSS)is investigated and the operating mechanism of this GFSS is analyzed.By adjusting the bias voltage to control the graphene chemical po-tential between 0 eV and 0.5 eV,the GFSS can achieve four working states:dual-band passband,high-pass lowimpedance,low-pass high-impedance,and band-stop.Based on this GFSS,a hexagonal radome on a broadband omnidirectional monopole antenna is proposed,which can achieve independent 360°six-beam omnidirectional scanning at 1.08 THz and 1.58 THz dual bands.In addition,while increasing the directionality,the peak gains of the dual bands reach 7.44 dBi and 6.67 dBi,respectively.This work provides a simple method for realizing multi-band terahertz multi-beam reconfigurable antennas.

利用电缆HFCT高速采样的系统暂态扰动辨识

分散分布于电力系统各处的暂态扰动不易被变电站监测设备捕捉,因此提出充分利用电缆附件处装设的高频电流传感器(high frequency current transformer,HFCT)作为高速信号采集源,从而实现暂态扰动信号辨识。首先利用真实的HFCT样品进行暂态扰动信号采样实验,论证了HFCT采集暂态扰动信号的可行性和有效性。然后通过深入分析暂态扰动信号经HFCT滤波后高频突出、信号微弱的具体特征,提出一种基于多重时频特征矩阵的暂态扰动辨识方法。该方法利用参数优化的变分模态分解,将高频微弱波形信号解构为不同中心频率的多重分量,从中提取出波形特征矩阵。接着对不同频率分量做进一步Wigner-Ville分布时频分析,得到时频图谱并提取各分量的时频图谱特征矩阵。最后,融合波形特征矩阵与时频图谱特征矩阵构造出多重时频特征矩阵,将其作为长短期记忆网络的输入,实现暂态扰动信号的分类辨识。实验数据测试表明,该文提出的多重时频特征矩阵能充分挖掘高频微弱信号的局部细节,适用于经HFCT滤波后的暂态扰动信号分类辨识,且抗噪性能较好,为暂态扰动信号分类辨识提供了新的监测思路与方法。

机载PD雷达杂波功率谱快速重构方法

分析了机载脉冲多普勒雷达杂波功率谱理论模型,根据杂波生成机理,利用距离折叠和多普勒折叠的效应,提出了一种快速重构多脉冲重复频率下雷达杂波功率谱的方法;利用一个预先计算的基准杂波功率分布图,通过距离域和多普勒域的两次级联重构,完成多重频下杂波功率谱的计算和仿真;分析了载机与雷达参数对功率谱重构的影响,减少了运算量,为功率谱实时计算提供了一种可行方法。

Passive-source multitaper-spectral method based low-frequency data reconstruction for active seismic sources

Passive seismic data contain large amounts of low-frequency information. To effectively extract and compensate active seismic data that lack low frequencies, we propose a multitaper spectral reconstruction method based on multiple sinusoidal tapers and derive equations for multisource and multitrace conditions. Compared to conventional cross correlation and deconvolution reconstruction methods, the proposed method can more accurately reconstruct the relative amplitude of recordings. Multidomain iterative denoising improves the SNR of retrieved data. By analyzing the spectral characteristics of passive data before and after reconstruction, we found that the data are expressed more clearly after reconstruction and denoising. To compensate for the low-frequency information in active data using passive seismic data, we match the power spectrum, supplement it, and then smooth it in the frequency domain. Finally, we use numerical simulation to verify the proposed method and conduct prestack depth migration using data after low-frequency compensation. The proposed power-matching method adds the losing low frequency information in the active seismic data using the low-frequency information of passive- source seismic data. The imaging of compensated data gives a more detailed information of deep structures.

基于FPGA的控制信号仿真实现

利用脉冲编码信号源电路可在雷达系统的自检与测试过程中产生多路高、中、低重频脉冲编码信号。文中介绍了一种利用FPGA和Verlog-VHDL硬件描述语言来产生调幅调相和编码等控制信号的具体方法。

一种优化PD雷达速度模糊和距离模糊的方案

作为一种先进的全相参体制雷达,脉冲多普勒雷达的发展已经极为成熟,不过PD体制中不可避免的距离模糊和速度模糊对检测结果带来的影响却必须引起重视,基于此,本文就传统的解距离模糊和速度模糊方法进行了简单分析,并基于目标径向速度不随雷达工作频率变化而变化的特性提出了一种新的解模糊方法,希望由此能够为相关业内人士带来一定启发。

Multi-scale seismic full waveform inversion in the frequency-domain with a multi-grid method

Although full waveform inversion in the frequency domain can overcome the local minima problem in the time direction, such problem still exists in the space direction because of the media subsurface complexity. Based on the optimal steep descent methods, we present an algorithm which combines the preconditioned bi-conjugated gradient stable method and the multi-grid method to compute the wave propagation and the gradient space. The multiple scale prosperity of the waveform inversion and the multi-grid method can overcome the inverse problems local minima defect and accelerate convergence. The local inhomogeneous three-hole model simulated results and the Marmousi model certify the algorithm effectiveness.

Analysis of cumulative handoff delay for graded secondary users in cognitive radio networks

According to the fact that the secondary users＇ delay requirements for data transmission are not unitary in cognitive radio networks, the secondary users are divided into two classes, denoted by SU1 and SU2, respectively. It is assumed that SU1 has a higher priority to occupy the primary users＇ unutilized channels than SU2. A preemptive resume priority M/G/1 queuing network is used to model the multiple spectrum handoffs processing. By using a state transition probability matrix and a cost matrix, the average cumulative delays of SU1 and SU2 are calculated, respectively. Numerical results show that the more the primary user＇s traffic load, the more rapidly the SU2＇s cumulative handoff delay grows. Compared with the networks where secondary users are unitary, the lower the SUI＇s arrival rate, the more obviously both SUI＇s and SU2＇s handoff delays decrease. The admission access regions limited by the maximum tolerable delay can also facilitate the design of admission control rules for graded secondary users.

测距模糊及其解决方法

分析了测距模糊引起的原因及其解决途径 ,重点论述了用多重射频解决测距模糊的方法及优点。

A Numerical Study of Liquid Sloshing in a Two-dimensional Tank under External Excitations

In this research, liquid sloshing behavior in a 2-D rectangular tank was simulated using ANSYS-FLUENT software subject to single or multiple-coupled external excitations （such as sway coupled with roll, and sway and roll coupled with heave）. The volume of fluid （VOF） method was used to track the free surface of sloshing. External excitation was imposed through the motion of the tank by using the dynamic mesh technique. The study shows that if the tank is subjected to multiple coupled excitations and resonant excitation frequencies, liquid sloshing will become violent and sloshing loads, including impact on the top wall, will be intensified.

Isolation of Whole-plant Multiple Oscillations via Non-negative Spectral Decompositio

Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique is described and demonstrated by analyzing data from both simulated and real plant data of a chemical process plant. Results show that the proposed approach can map multiple oscillatory sources onto the most appropriate control loops,and has superior performance in terms of reconstruction accuracy and intuitive understanding compared with spectral independent component analysis(ICA).

Uplink Grant-Free Pattern Division Multiple Access (GF-PDMA) for 5G Radio Access

Massive machine type communication(m MTC) is one of the key application scenarios for the fifth generation mobile communication(5 G). Grant-free(GF) transmission can reduce the high signaling overhead in m MTC. Non-orthogonal multiple access(NMA) can support more users for m MTC than orthogonal frequency division multiple access(OFDMA). Applying GF transmission in NMA system becomes an active topic recently. The in-depth study on applying GF transmission in pattern division multiple access(PDMA), a competitive candidate scheme of NMA, is investigated in this paper. The definition, latency and allocation of resource and transmission mechanism for GF-PDMA are discussed in detail. The link-level and system-level evaluations are provided to verify the analysis. The analysis and simulation results demonstrate that the proposed GF-PDMA has lower latency than grant based PDMA(GB-PDMA), possesses strong scalability to confront collision and provides almost 2.15 times gain over GF-OFDMA in terms of supporting the number of active users in the system.

Suboptimal MMSE Channel Estimation with Subspace Tracking for MIMO-OFDM Transmission

A suboptimal minimum mean-squared error estimation （MMSE） is proposed for a dispersive wireless channel in the absence of its .orrelation matrix for multipleinput multiple-output ort,ogonal frequency division multiplexing （MIMO - OFDM） transmission. It utilizes a fast subspace approximation tracking to separate signal subspace with a limited set of channel estimates. The subspace rank is adjusted by pre-set thresholds in different signal-to-noise ratios （SNRs）. The performance comparison among the proposed algorithm, least square based, and the optimal MMSE estimation is shown by numerical simulation under a spatially correlated multi-tap channel scenario. It demonstrates that the approach has better normalized mean square error than recursive least square estimation and yields 3 dB gain over the latter.

Transmit Antenna Selection in MIMO-OFDM System Based on CO-SFBC Schemes

A transmit antenna selection(TAS)multi-input multi-output orthogonal frequency-division multiplexing(MIMO-OFDM)system based on channel-orthogonalized space-frequency block coding(CO-SFBC)schemes was proposed for better performance.Firstly,the principles and criterions for designing CO-STBC/SFBC schemes with angle feedback were proposed,and then the effect of quantization for the feedback angle information within such schemes was discussed.Meanwhile,the TAS scheme was applied to the system to further improve the overall performance.Simulation results show that the combination of the proposed CO-STBC and TAS schemes can significantly improve the system performance,which is much larger than only applying them to systems individually.

Classified-edge guided depth resampling for multi-view coding

A new depth resampling for multi-view coding is proposed in this paper.At first,the depth video is downsampled by median filtering before encoding.After decoding,the classified edges,including credible edge and probable edge from the aligned texture image and the depth image,are interpolated by the selected diagonal pair,whose intensity difference is the minimum among four diagonal pairs around edge pixel.According to different category of edge,the intensity difference is measured by either real depth or percentage depth without any parameter setting.Finally,the resampled depth video and the decoded full-resolution texture video are synthesized into virtual views for the performance evaluation.Experiments on the platform of multi-view high efficiency video coding(HEVC) demonstrate that the proposed method is superior to the contrastive methods in terms of visual quality and rate distortion(RD) performance.