基于載波域自適應(yīng)迭代濾波器的無源雷達(dá)多徑雜波抑制方法
doi: 10.11999/JEIT180097 cstr: 32379.14.JEIT180097
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南昌大學(xué)信息工程學(xué)院 ??南昌 ??330031
基金項(xiàng)目: 國家自然科學(xué)基金(61461030, 61661032, 61761030),江西省科技廳自然科學(xué)項(xiàng)目(20161BAB203079, 20161BAB212038)
Multipath Clutter Rejection Approach Based on Carrier Domain Adaptive Iterative Filter in Passive Bistatic Radar
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School of Information Engineering, Nanchang University, Nanchang 330031, China
Funds: The National Natural Science Foundation of China (61461030, 61661032, 61761030), The Natural Science Fund of Jiangxi Province (20161BAB203079, 20161BAB212038)
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摘要: 在無源雷達(dá)系統(tǒng)中,監(jiān)測通道信號(hào)中存在零頻和非零頻多徑雜波,影響目標(biāo)的檢測。時(shí)域自適應(yīng)迭代濾波器(如LMS, NLMS, RLS等)常被用于無源雷達(dá)雜波抑制,但這些方法只適用于零頻多徑雜波。該文針對零頻和非零頻多徑雜波的問題,結(jié)合數(shù)字廣播電視信號(hào)的正交頻分復(fù)用波形特征,提出一種基于載波域自適應(yīng)迭代濾波器的雜波抑制算法。該算法利用同一載頻下含有相同多普勒頻移的多徑雜波的相關(guān)性原理,進(jìn)行雜波抑制。仿真和實(shí)測數(shù)據(jù)處理結(jié)果證明了算法的有效性。
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關(guān)鍵詞:
- 無源雷達(dá) /
- 數(shù)字廣播電視信號(hào) /
- 多徑雜波抑制 /
- 遞歸最小二次方算法
Abstract: In passive bistatic radar systems, there exists the zero and non-zero Doppler shift multipath clutter in the surveillance channel. The multipath clutter affects the target detection. Temporal adaptive iterative filter such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) are often used to reject multipath clutter in passive bistatic radar, but these methods are only applicable to reject zero Doppler shift multipath clutter. To solve the problem of zero and non-zero Doppler shift multipath clutter, combined with the orthogonal frequency division multiplexing waveform features of digital broadcasting television signals, a clutter rejection algorithm is proposed based on carrier domain adaptive iterative filter. The algorithm utilizes the correlation of multipath clutter with the same Doppler shift at the same carrier frequency in subcarrier domain to reject the zero and non-zero Doppler shift multipath clutter. Simulation and experiment data processing results show the superiority of the proposed algorithm. -
表 1 模擬多徑及目標(biāo)的相關(guān)參數(shù)
參數(shù) 采樣點(diǎn)延遲 多普勒頻移(Hz) 信噪比(dB) 零頻多徑 0, 1,···, 12 0 60, 55,···, 0 非零頻多徑 6, 8 –1, 1 10, 20 目標(biāo)回波 10 8 –5 下載: 導(dǎo)出CSV
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DEAKHTIAN M, BOLVARDI H, and SHEIKHI A. Dynamic clutter suppression and multi-target detection in DVB-T based passive radar[J]. IEEE Transactions on Aerospace&Electronic Systems, 2017, 53(4): 1812–1825 doi: 10.1109/TAES.2017.2674138 SCHUPBACH C, PATRY C, MAASTORP F, et al. Micro-UAV detection using DAB-based passive radar[C]. 2017 IEEE Radar Conference, Seattle, USA, 2017: 1037–1040. GASSIER G, CHABRIEL G, BARRERE J, et al. A unifying approach for disturbance cancellation and target detection in passive radar using OFDM[J]. IEEE Transactions on Signal Processing, 2016, 64(22): 5959–5971 doi: 10.1109/TSP.2016.2600511 CHABRIEL G and BARRERE J. Adaptive target detection techniques for OFDM-based passive radar exploiting spatial diversity[J]. IEEE Transactions on Signal Processing, 2017, 65(22): 5873–5884 doi: 10.1109/TSP.2017.2742980 萬顯榮, 程熠瑤, 易建新, 等. DTMB外輻射源雷達(dá)參考信號(hào)重構(gòu)信道估計(jì)新方法[J]. 電子與信息學(xué)報(bào), 2017, 39(5): 1044–1050 doi: 10.11999/JEIT160796WAN Xianrong, CHENG Yiyao, YI Jianxin, et al. Novel channel estimation of reference signal reconstruction for DTMB-based passive radar[J]. Journal of Electronics&Information Technology, 2017, 39(5): 1044–1050 doi: 10.11999/JEIT160796 ZHAO Zhixin, ZHOU Xinhua, ZHU Sihang, et al. Reduced complexity multipath clutter rejection approach for DRM-based HF passive bistatic radar[J]. IEEE Access, 2017, 5(1): 20228–20234 doi: 10.1109/ACCESS.2017.2756075 唐波, 程水英, 張浩. 外輻射源雷達(dá)模糊函數(shù)副峰抑制算法研究[J]. 電子學(xué)報(bào), 2015, 43(6): 1058–1064 doi: 10.3969/j.issn.0372-2112.2015.06.003TANG Bo, CHENG Shuiying, and ZHANG Hao. Ambiguity function side peaks suppression for passive radar[J]. Acta Electronica Sinica, 2015, 43(6): 1058–1064 doi: 10.3969/j.issn.0372-2112.2015.06.003 THOMAS J M, GRIFFITHS H D, and BAKER C J. Ambiguity function analysis of digital radio mondiale signals for HF passive bistatic radar[J]. Electronics Letters, 2006, 42(25): 1482–1483 doi: 10.1049/el:20062896 THOMAS J M, BAKER C J, and GRIFFITHS H D. DRM signals for HF passive bistatic radar[C]. 2007 IET International Conference on Radar Systems, Edinburgh, UK, 2007: 1–5. TANG Hui, WAN Xianrong, YI Jianxin, et al. Performance of the least squares filter for passive radar interference cancellation applications[J]. IET Radar Sonar&Navigation, 2017, 11(8): 1208–1215 doi: 10.1049/iet-rsn.2016.0410 GARRY J L, BAKER C J, and SMITH G E. Evaluation of direct signal suppression for passive radar[J]. IEEE Transactions on Geoscience&Remote Sensing, 2017, 55(7): 3786–3799 doi: 10.1109/TGRS.2017.2680321 SHAN Tao, MA Yahui, TAO Ran, et al. Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar[J]. IEICE Electronics Express, 2014, 11(20): 1–12 doi: 10.1587/elex.11.20140872 劉建成, 趙宏志, 全厚德, 等. 迭代變步長LMS算法及性能分析[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1674–1680 doi: 10.11999/JEIT141501LIU Jiancheng, ZHAO Hongzhi, QUAN Houde, et al. Iteration-based variable step-size LMS algorithm and its performance analysis[J]. Journal of Electronics&Information Technology, 2015, 37(7): 1674–1680 doi: 10.11999/JEIT141501 COLONE F, O’HAGAN D W, LOMBARDO P, et al. A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar[J]. IEEE Transactions on Aerospace&Electronic Systems, 2009, 45(2): 698–722 doi: 10.1109/TAES.2009.5089551 ETSI ES 201980 V3.1.1 Digital Radio Mondiale (DRM): System specification[S]. European Telecommunication Standards Institute (ETSI), Sophia Antipolis, France, 2009: 138–140. KIM S J, PARK K W, LEE K T, et al. Detection method for digital radio mondiale plus in hybrid broadcasting mode[J]. IEEE Transactions on Consumer Electronics, 2013, 59(1): 9–15 doi: 10.1109/TCE.2013.6490235 張賢達(dá). 現(xiàn)代信號(hào)處理[M]. 第2版, 北京: 清華大學(xué)出版社, 2002: 206–208.ZHANG Xianda. Modern Signal Processing[M]. Second Ed., Beijing: Tsinghua University Press, 2002: 206–208. -