Compressive sensing for multi-carrier EBPSK radar

被引:1
作者
机构
[1] School of Information Science and Engineering, Southeast University
来源
Wu, L. (wuln@seu.edu.cn) | 1600年 / Southeast University卷 / 44期
关键词
Block compressive sampling matching pursuit (BCoSaMP); Compressive sensing; Extended binary phase shift keying (EBPSK); Multi-carrier radar; Target detection;
D O I
10.3969/j.issn.1001-0505.2014.01.005
中图分类号
学科分类号
摘要
Compressive sensing (CS) technique is used in the multi-carrier phase-coded (MCPC) pulse radar, and the radar performance including the delay and Doppler frequency estimation and target scattering coefficients of different frequencies is analyzed. The extended binary phase shift keying (EBPSK) and binary phase shift keying (BPSK) performance of delay and Doppler frequency estimation are compared under the conditions of different numbers of targets using the block compressive sampling matching pursuit (BCoSaMP) reconstruction algorithm. And the target scattering coefficients of this radar are estimated. Simulation results show that the detection performance of the dense multi-carrier radar based on CS is better than that of the orthogonal multi-carrier radar, and under the condition of the orthogonal and the dense multi-carrier, the target detection performance of the EBPSK modulation outperforms that of the BPSK modulation. Furthermore, the estimation accuracy of the target scattering coefficients has a logarithmic relationship with signal to noise ratio (SNR), and the EBPSK modulation signal has better target scattering coefficients estimation performance than the BPSK modulation signal at low SNR. Theoretical analysis and simulation results show the effectiveness and feasibility of the CS technique in terms of reducing the sampling frequency of the signal.
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页码:23 / 27
页数:4
相关论文
共 14 条
[1]  
Shen F.F., Zhao G.H., Shi G.M., Et al., Compressed sensing based ultra-wideband radar system, IEEE CIE International Conference on Radar, 2, pp. 1850-1853, (2011)
[2]  
Baraniuk R.G., Cevher V., Duarte M.F., Et al., Model-based compressive sensing, IEEE Transactions on Information Theory, 56, 4, pp. 1982-2001, (2010)
[3]  
Sen S., Nehorai A., Sparsity-based multi-target tracking using OFDM radar, IEEE Transactions on Signal Processing, 59, 4, pp. 1902-1906, (2011)
[4]  
Herman M., Strohmer T., Compressed sensing radar, IEEE Radar Conference, pp. 1-6, (2008)
[5]  
Liu Y., The application of CS in UWB through-wall radar, Popular Science and Technology, 5, pp. 47-49, (2012)
[6]  
Herman M.A., Strohmer T., High-resolution radar via compressed sensing, IEEE Transactions on Signal Processing, 57, 6, pp. 2275-2284, (2009)
[7]  
Wang H., Zhang J., Li Y., Et al., Multicarrier radar velocity measurement using single pulse, Journal of Electronics and Information Technology, 32, 12, pp. 2868-2872, (2010)
[8]  
Berger C.R., Wang Z.H., Huang J.Z., Et al., Application of compressive sensing to sparse channel estimation, IEEE Communications Magazine, 48, 11, pp. 164-174, (2010)
[9]  
Eldar Y.C., Mishali M., Robust recovery of signals from a structured union of subspaces, IEEE Transactions on Information Theory, 55, 11, pp. 5302-5316, (2009)
[10]  
Eldar Y.C., Bolcskei H., Block-sparsity: coherence and efficient recovery, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2885-2888, (2009)