一種基于壓縮感知的天波超視距雷達短時海雜波抑制方法
doi: 10.11999/JEIT160576 cstr: 32379.14.JEIT160576
基金項目:
國家自然科學(xué)基金(61471391)
Sea Clutter Suppression Method for Over-the-horizon Radar with Short Coherent Integration Time Based on Compressed Sensing
Funds:
The National Natural Science Foundation of China (61471391)
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摘要: 針對傳統(tǒng)時域?qū)ο椒ㄔ诙虝r條件下雜波重構(gòu)精度低、抑制性能差的缺陷,該文提出一種基于壓縮感知的天波雷達短時海雜波重構(gòu)及抑制方法。首先對天波雷達短時回波模型進行了建模,在此基礎(chǔ)上分析了利用壓縮感知進行短時海雜波重構(gòu)的合理性;其次分別從基于復(fù)冗余正弦字典的回波稀疏表示、基于降維字典的傳感矩陣表示和基于改進的正交匹配追蹤算法的雜波重構(gòu)及抑制3個步驟對所提算法進行了詳細闡述;最后進行了計算機仿真分析和實測數(shù)據(jù)驗證。相關(guān)結(jié)果表明,在短時條件下,所提方法較傳統(tǒng)時域?qū)ο椒ê妥涌臻g類抑制方法具有較優(yōu)的雜波抑制性能和工程應(yīng)用價值。Abstract: To deal with the drawbacks of low reconstruction accuracy and poor suppression performance of clutter with short Coherent Integration Time (CIT) for traditional time domain cancellation method, a method of sea clutter reconstruction and suppression based on Compressed Sensing (CS) is proposed. Firstly, echoes model of Over-The-Horizon Radar (OTHR) with short CIT is established, and the rationality using CS to reconstruct sea clutter is analyzed. Secondly, the proposed method is elaborated in detail from sparse representation of echoes model based on redundant sinusoidal?dictionary, representation of sensing matrix based on dimensionality reduction dictionary and sea clutter reconstruction and suppression based on the modified Orthogonal Matching Pursuit (OMP) algorithm respectively. Finally, the computer simulation analysis and measured data verification are accomplished. The results indicate that the clutter suppression performance and engineering application value of the proposed method are better than the traditional time domain cancellation method and subspace methods in the condition of short CIT.
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周萬幸. 天波超視距雷達發(fā)展綜述[J]. 電子學(xué)報, 2011, 39(6): 1373-1378. ZHOU Wanxing. An overview on development of skywave over-the-horizon radar[J]. Acta Electronica Sinica, 2011, 39(6): 1373-1378. 周文瑜, 焦培南. 超視距雷達技術(shù)[M]. 北京: 電子工業(yè)出版社, 2008: 226-231. ZHOU Wenyu and JIAO Peinan. Technology in Over The Horizon Radars[M]. Beijing: Publishing House of Electronics Industry, 2008: 226-231. 羅歡, 陳建文, 鮑拯. 電離層和海態(tài)對天波雷達多普勒譜的影響[J]. 信號處理, 2014, 30(5): 489-497. LUO Huan, CHEN Jianwen, and BAO Zheng. Effect of ionosphere and oceanic state on doppler spectrum of over the horizon radar[J]. Journal of Signal Processing, 2014, 30(5): 489-497. 李雪, 李吉寧, 婁鵬, 等. 行波擾動對天波雷達慢速目標檢測影響研究[J]. 電波科學(xué)學(xué)報, 2015, 30(2): 295-299. doi: 10. 13443/j.cjors.2014032701. LI Xue, LI Jining, LOU Peng, et al. TIDs effect on low speed target detection of OTHR[J]. Chinese Journal of Radio Science, 2015, 30(2): 295-299. doi: 10.13443/j.cjors. 2014032701. 張曉華, 盛文, 王國師, 等. 積累點數(shù)對天波雷達探測性能的影響研究[J]. 現(xiàn)代雷達, 2014, 36(4): 1-4. ZHANG Xiaohua, SHENG Wen, WANG Guoshi, et al. A study on the effects of accumulated number for detection performance of the sky-wave OTHR[J]. Modem Radar, 2014, 36(4): 1-4. ROOT B. HF-over-the-horizon radar ship detection with short dwells using clutter cancellation[J]. Radio Science, 1998, 33(4): 1095-1111. POON M W Y, KHAN R H, and LE-Ngoc S. A singular value decomposition (SVD) based method for suppressing ocean clutter in high frequency radar[J]. IEEE Transactions on Signal Processing, 1993, 41(3): 1421-1425. ANDERSON S J and ABRAMOVICH Y I. A unified approach to detection, classification, and correction of ionospheric distortion in HF sky wave radar systems[J]. Radio Science, 1998, 33(4): 1055-1067. CROMBIE D D. Doppler spectrum of sea echo at 13.56 MHz[J]. Nature, 1955, 175(1): 681-682. BARRICK D E. First-order theory and analysis of MF/HF/ VHF scatter from the sea[J]. IEEE Transactions on Antennas Propagation, 1972, AP-20(1): 2-10. SATISH K S and JOHN W. An analysis of the second-order Doppler return from the ocean surface[J]. IEEE Journal of Oceaning Engineering, 1985, 10(4): 443-445. DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. CANDS E. Compressive sampling[C]. Proceedings of the international congress of mathematicians, Madrid, Spain, 2006, 3: 1433-1452. CANDS E, ROMBERG J, and TAO T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509. 石光明, 劉丹華, 高大化, 等. 壓縮感知理論及其研究進展[J]. 電子學(xué)報, 2009, 37(5): 1070-1081. SHI Guangming, LIU Danhua, GAO Dahua, et al. Advances in theory and application of compressed sensing[J]. Acta Eiectronica Sinica, 2009, 37(5): 1070-1081. MALLAT S G and ZHANG Zhifeng. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 1993, 41(12): 3397-3415. 林波, 張增輝, 朱炬波. 基于壓縮感知的DOA估計稀疏化模型與性能分析[J]. 電子與信息學(xué)報, 2014, 36(3): 589-594. doi: 10.3724/SP.J.1146.2013.00149. LIN Bo, ZHANG Zenghui, and ZHU Jubo. Sparsity model and performance analysis of DOA estimation with compressive sensing[J]. Journal of Electronics Information Technology, 2014, 36(3): 589-594. doi: 10.3724/SP.J.1146. 2013.00149. LI Yajun, WEI Yinsheng, ZHU Yongpeng, et al. Analysis and simulation for broadening first-order sea clutter spectrum in high frequency hybrid sky-surface wave propagation mode[J]. IET Radar, Sonar Navigation, 2015, 9(6): 609-621. 鄭紅, 李振. 壓縮感知理論投影矩陣優(yōu)化方法綜述[J]. 數(shù)據(jù)采集與處理, 2014, 29(1): 43-53. ZHENG Hong and LI Zhen. Survey on optimization methods for projection matrix in compress sensing theory[J]. Journal of Data Acquisition and Processing, 2014, 29(1): 43-53. DONOHO D L, ELAD M, and TEMLYAKOV V N. Stable recovery of sparse overcomplete representations in the presence of noise[J]. IEEE Transactions on Information Theory, 2006, 52(1): 6-18. 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. CHNASS K and VANDERGHEYNST P. Dictionary preconditioning for greedy algorithms[J]. IEEE Transactions on Signal Processing, 2008, 56(5): 1994-2002. HUANG Anmin, WAN Qun, and YANG Wanlin. Dictionary preconditioning for orthogonal matching pursuit in the presence of noise[C]. International Conference on Communications, Circuits and Systems (ICCCAS), Milpitas, CA, United States, 2009: 419-422. -
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