基于壓縮感知的外輻射源雷達分數(shù)階雜波估計

楊鵬程; 呂曉德; 柴致海; 張丹; 岳琦; 楊璟茂

doi:10.11999/JEIT170079

基于壓縮感知的外輻射源雷達分數(shù)階雜波估計

doi: 10.11999/JEIT170079

計量
- 文章訪問數(shù): 1427
- HTML全文瀏覽量: 116
- PDF下載量: 198
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-01-22
- 修回日期: 2017-04-14
- 刊出日期: 2017-11-19

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

摘要

摘要: 參考信號信雜比(SCR)是評估外輻射源雷達積累增益損失的重要參數(shù)。利用數(shù)字電視地面廣播(DTTB)輻射源中的PN序列進行信雜比估計時，將出現(xiàn)接收信號相對于本地幀頭的分數(shù)階時延問題，導(dǎo)致信雜比估計出現(xiàn)嚴重偏差。針對該問題，該文利用信號在時延維的稀疏性，提出基于壓縮感知的信雜比估計算法。仿真結(jié)果表明，該算法對不同強弱的信號都能得到精確的時延和強度估計，從而保證了信雜比估計的準確性。實測數(shù)據(jù)處理結(jié)果表明，實測數(shù)據(jù)的參考信號信雜比較高，積累損失較小，約為0.5 dB；信雜比與基線距離有關(guān)，基線越長信雜比越低，積累損失越大。
- 外輻射源雷達 /
- 壓縮感知 /
- 參考信號 /
- 信雜比 /
- 分數(shù)階時延 /
- PN序列
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

HTML全文

參考文獻(24)

高志文, 陶然. 外輻射源雷達的相干積累增益計算及性能分析[J]. 電子學(xué)報, 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.

趙永科. 無源相參雷達參考信號影響及重構(gòu)方法研究[D]. [碩士論文], 中國科學(xué)院大學(xué), 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.

馮遠. 數(shù)字電視輻射源雷達參考信號獲取及干擾抑制算法研究 [D]. [博士論文], 北京理工大學(xué), 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.

萬顯榮, 岑博, 易建新, 等. 中國移動多媒體廣播外輻射源雷達參考信號獲取方法研究[J]. 電子與信息學(xué)報, 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. 基于復(fù)倒譜技術(shù)的無源雷達直達波提純方法 [J]. 現(xiàn)代雷達, 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.

中國國家標準化管理委員會. 國標: 20600-2006. 數(shù)字電視地面廣播傳輸系統(tǒng)幀結(jié)構(gòu), 信道編碼和調(diào)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.

王海濤, 王偉, 符渭波. 基于壓縮感知的無源雷達目標檢測和方向估計[J]. 空軍預(yù)警學(xué)院學(xué)報, 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.

楊鵬程, 呂曉德, 李紀傳, 等. 基于壓縮感知的外輻射源雷達目標檢測[J]. 雷達科學(xué)與技術(shù), 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.

相關(guān)文章

施引文獻

資源附件(0)

訪問統(tǒng)計