Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing

YANG Pengcheng; LU Xiaode; CHAI Zhihai; ZHANG Dan; YUE Qi; YANG Jingmao

doi:10.11999/JEIT170079

Volume 39 Issue 11

Nov. 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(11): 2716-2723

YANG Pengcheng, LU Xiaode, CHAI Zhihai, ZHANG Dan, YUE Qi, YANG Jingmao. Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2716-2723. doi: 10.11999/JEIT170079

Citation:

YANG Pengcheng, LU Xiaode, CHAI Zhihai, ZHANG Dan, YUE Qi, YANG Jingmao. Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2716-2723. doi: 10.11999/JEIT170079

Citation:

PDF( 464 KB)

Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing

doi: 10.11999/JEIT170079

Received Date: 2017-01-22
Rev Recd Date: 2017-04-14
Publish Date: 2017-11-19

Abstract

Abstract

Signal-Clutter-Ratio (SCR) in reference channel is an important parameter for the evaluation of integration loss of passive radar. When PN sequence in the Digital Terrestrial Television Broadcast (DTTB) illuminator is utilized for SCR estimation, there will be the problem of fractional-delay received signal relative to local PN sequence, which leads to a severe deviation of SCR estimation. For this problem, a novel algorithm based on compressive sensing is proposed by exploiting the sparsity of signal in delay dimension. Simulation demonstrates that accurate estimation of delay and strength for signals of different strength can be obtained by the proposed algorithm, which ensures the accuracy of SCR estimation. The processing of experimental data shows that the whole SCR in the received data is relatively high and the integration loss is trivial, about 0.5 dB. In addition, SCR decreases with the length of baseline, which leads to the increase of integration loss.
- Passive radar,
- Compressive Sensing (CS),
- Reference signal,
- Signal-Clutter-Ratio (SCR),
- Fractional-delay,
- PN sequence

FullText(HTML)

References(24)

References

高志文, 陶然. 外辐射源雷达的相干积累增益计算及性能分析[J]. 电子学报, 2008, 36(6): 1227-1230. doi: 10.3321/j.issn: 0372-2112.2008.06.038.

GRIFFITHS H and BAKER C. Passive coherent location radar systems. Part 1: Performance prediction[J]. IEE Proceedings-Radar, Sonar and Navigation, 2005, 152(3): 153-159. doi: 10.1049/ip-rsn:20045082.

GAO Zhiwen and TAO Ran. Computation and analysis of coherent accumulation gain for passive radar[J]. Acta Electronica Sinica, 2008, 36(6): 1227-1230. doi: 10.3321/ j.issn:0372-2112.2008.06.038.

赵永科. 无源相参雷达参考信号影响及重构方法研究[D]. [硕士论文], 中国科学院大学, 2014: 37-39.

ZHAO Yongke. Research on effects and reconstructing algorithm of reference signal for passive coherent radar[D]. [Master dissertation], University of Chinese Academy of Sciences, 2014: 37-39.

冯远. 数字电视辐射源雷达参考信号获取及干扰抑制算法研究 [D]. [博士论文], 北京理工大学, 2014: 11-13.

FENG Yuan. Research on algorithms of reference signal acquisition and interference suppression in DTTB based passive radar[D]. [Ph.D. dissertation], Beijing Institute of Technology, 2014: 11-13.

BACZYK M K, KULPA K, SAMCZYNSKI P, et al. The impact of reference channel SNR on targets detection by passive radars using DVB-T signals[C]. 2015 IEEE Radar Conference, Arlington, USA, 2015: 708-712. doi: 10.1109/ RADAR.2015.7131088.

万显荣, 岑博, 易建新, 等. 中国移动多媒体广播外辐射源雷达参考信号获取方法研究[J]. 电子与信息学报, 2012, 34(2): 338-343. doi: 10.3724/SP.J.1146.2011.00572.

WAN Xianrong, CEN Bo, YI Jianxin, et al. Reference signal extraction methods for CMMB-based passive bistatic radar [J]. Journal of Electronics Information Technology, 2012, 34(2): 338-343. doi: 10.3724/SP.J.1146.2011.00572.

WANG F. Direct signal recovery and masking effect removal exploiting sparsity for passive bistatic radar[C]. IET International Radar Conference, Hangzhou, China, 2015: 1-6. doi: 10.1049/cp.2015.0969.

JIANG L, FENG T, ZHANG W, et al. The direct wave purifying based on WIFI signal for passive radar[J]. Wireless Communications, Networking and Applications, 2016, 348: 223-234. doi: 10.1007/978-81-322-2580-5_22.

朱家兵, 洪一. 基于复倒谱技术的无源雷达直达波提纯方法 [J]. 现代雷达, 2007, 29(8): 75-78. doi: 10.3969/j.issn.1004- 7859.2007.08.021.

ZHU Jiabing and HONG Yi. A direct-path-wave purified approach to passive radar based on cepstrum technique[J]. Modern Radar, 2007, 29(8): 75-78. doi: 10.3969/j.issn.1004- 7859.2007.08.021.

中国国家标准化管理委员会. 国标: 20600-2006. 数字电视地面广播传输系统帧结构, 信道编码和调制[S]. 2006.

SAC(Standardization Administration of the Peoples Republic of China). GB: 20600-2006. Framing Structure, Channel Coding and Modulation for Digital Television Terrestrial Broadcasting System[S]. 2006.

DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. doi: 10.1109/ TIT.2006.871582.

王海涛, 王伟, 符渭波. 基于压缩感知的无源雷达目标检测和方向估计[J]. 空军预警学院学报, 2015, 29(4): 246-250. doi: 10.3969/j.issn.2095-5839.2015.04.004.

WANG Haitao, WANG Wei, and FU Weibo. Target detection and DOA estimation for based compressed sensing-based passive radar[J]. Journal of Air Force Early Warning Academy, 2015, 29(4): 246-250. doi: 10.3969/j.issn.2095-5839.2015. 04.004.

LU Xiaode, YANG Pengcheng, LI Daojing, et al. Interference cancellation based on compressive sensing for passive coherent radar (PACOR)[C]. 2015 IEEE Radar Conference, Arlington, USA, 2015. doi: 10.1109/RADAR.2015.7131055.

杨鹏程, 吕晓德, 李纪传, 等. 基于压缩感知的外辐射源雷达目标检测[J]. 雷达科学与技术, 2015, 13(4): 384-389. doi: 10.3969/j.issn.1672-2337.2015.04.009.

YANG Pengcheng, LU Xiaode, LI Jichuan, et al. Target detection for passive radar using compressive sensing[J]. Radar Science and Technology, 2015, 13(4): 384-389. doi: 10.3969/j.issn.1672-2337.2015.04.009.

CHEN S S, DONOHO D L, and SAUNDERS M A. Atomic decomposition by basis pursuit[J]. SIAM Journal on Scientific Computing, 1998, 20(1): 33-61.

TROPP J A and GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.

Relative Articles

Supplements(0)

Cited By

Proportional views