一种基于压缩感知的天波超视距雷达短时海杂波抑制方法

严韬; 陈建文; 鲍拯

doi:10.11999/JEIT160576

一种基于压缩感知的天波超视距雷达短时海杂波抑制方法

doi: 10.11999/JEIT160576

基金项目:

国家自然科学基金(61471391)

计量
- 文章访问数: 1594
- HTML全文浏览量: 177
- PDF下载量: 428
- 被引次数: 0
出版历程
- 收稿日期: 2016-06-01
- 修回日期: 2016-12-15
- 刊出日期: 2017-04-19

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)

摘要

摘要: 针对传统时域对消方法在短时条件下杂波重构精度低、抑制性能差的缺陷，该文提出一种基于压缩感知的天波雷达短时海杂波重构及抑制方法。首先对天波雷达短时回波模型进行了建模，在此基础上分析了利用压缩感知进行短时海杂波重构的合理性；其次分别从基于复冗余正弦字典的回波稀疏表示、基于降维字典的传感矩阵表示和基于改进的正交匹配追踪算法的杂波重构及抑制3个步骤对所提算法进行了详细阐述；最后进行了计算机仿真分析和实测数据验证。相关结果表明，在短时条件下，所提方法较传统时域对消方法和子空间类抑制方法具有较优的杂波抑制性能和工程应用价值。
- 天波超视距雷达 /
- 压缩感知 /
- 相干积累时间 /
- 海杂波抑制 /
- 冗余字典
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.
- Skywave Over-The-Horizon Radar (OTHR) /
- Compressed Sensing (CS) /
- Coherent Integration Time (CIT) /
- Sea clutter suppression /
- Redundant dictionary

HTML全文

参考文献(31)

周万幸. 天波超视距雷达发展综述[J]. 电子学报, 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. 超视距雷达技术[M]. 北京: 电子工业出版社, 2008: 226-231.

ZHOU Wenyu and JIAO Peinan. Technology in Over The Horizon Radars[M]. Beijing: Publishing House of Electronics Industry, 2008: 226-231.

罗欢, 陈建文, 鲍拯. 电离层和海态对天波雷达多普勒谱的影响[J]. 信号处理, 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, 李吉宁, 娄鹏, 等. 行波扰动对天波雷达慢速目标检测影响研究[J]. 电波科学学报, 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.

张晓华, 盛文, 王国师, 等. 积累点数对天波雷达探测性能的影响研究[J]. 现代雷达, 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, 刘丹华, 高大化, 等. 压缩感知理论及其研究进展[J]. 电子学报, 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, 张增辉, 朱炬波. 基于压缩感知的DOA估计稀疏化模型与性能分析[J]. 电子与信息学报, 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.

郑红, 李振. 压缩感知理论投影矩阵优化方法综述[J]. 数据采集与处理, 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.

施引文献

资源附件(0)

访问统计