基于稀疏重建的MIMO-OTH雷达多模杂波抑制算法

doi:10.7527/S1000-6893.2015.0011

电子与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于稀疏重建的MIMO-OTH雷达多模杂波抑制算法

窦道祥, 李茂, 何子述

电子科技大学电子工程学院, 成都 611731

收稿日期:2014-07-18 修回日期:2014-12-10 出版日期:2015-07-15 发布日期:2015-01-15
通讯作者: 何子述男, 教授, 博士生导师。主要研究方向: MIMO雷达系统、阵列信号处理。 Tel: 028-61830123 E-mail: zshe@uestc.edn.cn E-mail:zshe@uestc.edu.cn
作者简介:窦道祥男, 硕士研究生。主要研究方向: MIMO-OTH雷达信号处理。 E-mail: doudx812jsu@163.com;李茂男, 博士研究生。主要研究方向: 天波超视距雷达信号处理。 E-mail: limao164@163.com
基金资助:
国家自然科学基金 (61032010, 61201280)

Multi-mode clutter suppression algorithm of MIMO-OTH radar based on sparse reconstruction

DOU Daoxiang, LI Mao, HE Zishu

School of Electronic Engineering, University of Electronic Science and Technology, Chengdu 611731, China

Received:2014-07-18 Revised:2014-12-10 Online:2015-07-15 Published:2015-01-15
Supported by:
National Natural Science Foundation of China (61032010, 61201280)

摘要/Abstract

摘要：

针对由多模传播引起的多普勒扩展杂波(SDC)严重影响天波超视距雷达(OTHR)对慢速船舰目标的检测这一问题,在基于多输入多输出体制的新一代天波超视距(MIMO-OTH)雷达系统下,利用空域信息抑制多模SDC。传统处理方法需要目标角度先验信息,而在实际中,该信息往往很难获得。为此,提出一种新的基于稀疏重建的多模杂波抑制算法。该算法将二维的稀疏角度搜索转变为一维的角度搜索,使运算量大大降低,且估计出的收发角(DOA-DOD)自动配对,同时可获得各个传播路径下信号的时间多普勒信息,达到了理想的MIMO-OTH雷达多模杂波抑制效果。仿真结果证明了所提算法的有效性。

关键词: MIMO-OTH雷达, 多模传播, 杂波抑制, DOD估计, DOA估计, 稀疏重建

Abstract:

Spread-Doppler clutter (SDC) caused by multi-mode propagation seriously affects the over-the-horizon radar (OTHR) detection performance for slow ships. To solve this problem, we propose to suppress multi-mode SDC using spatial information in the multiple-input multiple-output over-the-horizon (MIMO-OTH) radar system. Traditional processing algorithms need priori information of the target direction. However, it is often not readily available. And the clutter suppression effect could be unsatisfactory. In this paper, we propose a novel multi-mode clutter suppression algorithm based on the sparse signal reconstruction technology. The proposed algorithm only requires the dictionary for one-dimensional angle, which reduces the computational complexity compared to the conventional method using dictionary for two-dimensional angle. The estimated direction-of-departure (AOA-DOD) and direction-of-arrival (AOA-DOA) can be automatically paired. At the same time, we can obtain the time-Doppler information for the signal under each propagation path. The ideal MIMO-OTH radar multi-mode clutter suppression effect is obtained. Simulation results verify the effectiveness of the proposed algorithm.

Key words: MIMO-OTH radar, multi-mode propagation, clutter suppression, direction-of-departure estimation, direction-of-arrival estimation, sparse reconstruction

中图分类号:

窦道祥, 李茂, 何子述. 基于稀疏重建的MIMO-OTH雷达多模杂波抑制算法[J]. 航空学报, 2015, 36(7): 2310-2318.

DOU Daoxiang, LI Mao, HE Zishu. Multi-mode clutter suppression algorithm of MIMO-OTH radar based on sparse reconstruction[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(7): 2310-2318.

参考文献

[1] Zhou W X. An overview on development of skywave over-the-horizon radar[J]. Acta Electronica Sinica, 2011, 39(6): 1373-1378 (in Chinese). 周万幸. 天波超视距雷达发展综述[J]. 电子学报, 2011, 39(6): 1373-1378.
[2] Wu X, Chen J W, Bao Z, et al. Development and research on new system skywave over-the-horizon radar[J]. Journal of Astronautics, 2013, 34(5): 671-678 (in Chinese). 吴瑕, 陈建文, 鲍拯, 等. 新体制天波超视距雷达的发展与研究[J]. 宇航学报, 2013, 34(5): 671-678.
[3] Li T C, Li X, Feng J, et al. Study on OTHR multi-mode propagation suppression based on adaptive frequency selection[J]. Chinese Journal of Radio Science, 2013, 28(4): 686-691 (in Chinese). 李铁成, 李雪, 冯静, 等. 基于自适应频率选择的OTHR多模传播抑制研究[J]. 电波科学学报, 2013, 28(4): 686-691.
[4] Guo X, Ni J L, Su W M, et al. Development of sky wave over-the-horizon radar[J]. Acta Aeronautica et Astronautica Sinica, 2002, 23(6): 495-500 (in Chinese). 郭欣, 倪晋麟, 苏卫民, 等. 天波超视距雷达的发展[J]. 航空学报, 2002, 23(6): 495-500.
[5] Zhao Z G, Chen J W, Bao Z. A MIMO skywave radar scheme with high transmitting power efficiency[J]. Acta Electronica Sinica, 2012, 40(12): 2519-2524 (in Chinese). 赵志国, 陈建文, 鲍拯. 一种高能量发射效率MIMO天波雷达方案[J]. 电子学报, 2012, 40(12): 2519-2524.
[6] Abramovich Y I, Frazer G J, Johnson B A. Noncausal adaptive spatial clutter mitigation in monostatic MIMO radar: Fundamental limits[J]. IEEE Selected Topics in Signal Processing, 2010, 4(1): 40-54.
[7] Wan X, Xiong X, Cheng F, et al. Experimental investigation of directional characteristics for ionospheric clutter in HF surface wave radar[J]. IET Radar, Sonar and Navigation, 2007, 1(2): 124-130.
[8] Frazer G J, Abramovich Y I, Johnson B A. Multiple-input multiple-output over-the-horizon radar: experimental results[J]. IET Radar, Sonar and Navigation, 2009, 3(4): 290-303.
[9] Anderson S J, 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.
[10] Guo X. Study on Skywave over-the-horizon radar signal processing[D]. Nanjing: Nanjing University of Science and Technology, 2003 (in Chinese). 郭欣. 天波超视距雷达信号处理技术研究[D]. 南京: 南京理工大学, 2003.
[11] Bazin V, Molinie J P, Munoz J. A general presentation about the OTH-radar NOSTRADAMUS[C]//IEEE Conference on Radar. Piscataway, NJ: IEEE Press, 2006, 17(8): 634-642.
[12] Weng H C, Chen J W, Zhao Z G, et al. Method of spread-Doppler clutter mitigation for MIMO-OTH radar[J]. Journal of Air Force Radar Academy, 2011, 25(6): 391-394 (in Chinese). 翁海超, 陈建文, 赵志国, 等. 一种MIMO体制天波雷达多普勒扩展杂波抑制方法[J]. 空军雷达学院学报, 2011, 25(6): 391-394.
[13] Bo C, Gu H, Su W M. Spread-Doppler clutter suppression method based on multiple-input multiple-output system for over-the-horizon radar[J]. China Sciencepaper, 2013, 8(7): 611-625 (in Chinese). 薄超, 顾红, 苏卫民. 基于MIMO体制的天波雷达多普勒扩展杂波抑制算法[J]. 中国科技论文, 2013, 8(7): 611-625.
[14] Donoho D. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[15] Malioutov D, Cetin M, Willsky A. A sparse signal reconstruction perspective for source localization with sensor arrays[J]. IEEE Transactions on Signal Processing, 2005, 53(8): 3010-3022.
[16] Zheng Z D, Zhang J Y, Song J, et al. Localization and estimation of gain-phase error for bistatic MIMO radar based on sparse representation[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(6): 1379-1388 (in Chinese). 郑志东, 张剑云, 宋靖, 等. 基于稀疏表示的双基地雷达多目标定位及幅相误差估计[J]. 航空学报, 2013, 34(6): 1379-1388.
[17] Zhao Z G, Chen J W, Yang M, et al. Comprehensive analysis and improvement of waveforms in MIMO skywave radar[J]. Modern Radar, 2012, 34(5): 8-13 (in Chinese). 赵志国, 陈建文, 杨敏, 等. MIMO天波雷达波形综合分析与改进[J]. 现代雷达, 2012, 34(5): 8-13.
[18] Liu B, Han C L, Miao J H. OFD-LFM signal design and performance analysis for MIMO radar[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(1): 28-31 (in Chinese). 刘波, 韩春林, 苗江宏. MIMO雷达正交频分LFM信号设计及性能分析[J]. 电子科技大学学报, 2009, 38(1): 28-31.
[19] Lu X Q, Sun R. A Study on clutter cancellation method based on modified Hankel matrix singular value decomposition[J]. Modern Radar, 2012, 34(3): 26-29 (in Chinese). 鲁晓倩, 孙荣. 修正Hankel矩阵SVD用于多模环境杂波对消研究[J]. 现代雷达, 2012, 34(3): 26-29.
[20] Khan R H. Ocean-clutter model for high-frequency radar[J]. IEEE Journal of Oceanic Engineering, 1991, 16(2): 181-188.
[21] Lin B, Zhang Z H, Zhu J B. Sparsity model and perform ance analysis of DOA estimation with compressive sensing[J]. Journal of Electronics & Information Technology, 2014, 36(3): 589-594 (in Chinese). 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.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于稀疏重建的MIMO-OTH雷达多模杂波抑制算法

Multi-mode clutter suppression algorithm of MIMO-OTH radar based on sparse reconstruction

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	陈唯实, 刘佳, 王青斌, 卢贤锋, 张洁, 陈小龙, 黄毅峰. 气象雷达探鸟技术综述[J]. 航空学报, 2023, 44(5): 26781-026781.
[2]	胡旭超, 谭贤四, 曲智国, 罗艺, 池鹏飞. 风电场雷达杂波动态重构抑制方法[J]. 航空学报, 2020, 41(1): 323269-323269.
[3]	夏赛强, 向虎, 陈文峰, 杨军, 陈一畅. 基于CEMD的旋翼微动目标杂波抑制方法[J]. 航空学报, 2018, 39(9): 322082-322091.
[4]	燕学智, 温艳鑫, 刘国红, 陈建. 基于稀疏表示和近似l₀范数约束的宽带信号DOA估计[J]. 航空学报, 2017, 38(6): 320705-320705.
[5]	曾文浩, 朱晓华, 李洪涛, 马义耕, 陈诚. 一种稀疏阵列下的二维DOA估计方法[J]. 航空学报, 2016, 37(7): 2269-2275.
[6]	于佳, 沈明威, 吴迪, 朱岱寅. 基于3DT的空时自适应单脉冲参数估计算法[J]. 航空学报, 2016, 37(5): 1580-1586.
[7]	何炜琨, 窄秋苹, 王晓亮, 吴仁彪. 扫描模式航管监视雷达风电场杂波检测与抑制[J]. 航空学报, 2016, 37(4): 1316-1326.
[8]	周延, 冯大政, 朱国辉. 空域数据重排的后多普勒自适应处理方法[J]. 航空学报, 2015, 36(9): 3020-3026.
[9]	韦北余, 朱岱寅, 吴迪. 基于杂波对消-自聚焦的多通道SAR-GMTI[J]. 航空学报, 2015, 36(5): 1585-1595.
[10]	陈展野, 周宇, 张林让, 赵健, 谷亚彬. 非均匀环境下利用单个数据集的STAP算法[J]. 航空学报, 2015, 36(12): 3938-3946.
[11]	唐波, 张玉, 李科. 基于先验知识及其定量评估的自适应杂波抑制研究[J]. 航空学报, 2013, 34(5): 1174-1180.
[12]	龙云利, 徐晖, 安玮. 基于约束序贯M估计的时空域融合红外杂波抑制[J]. 航空学报, 2011, 32(8): 1531-1541.
[13]	吕晖, 冯大政, 和洁, 向聪. 一种简化的机载MIMO雷达杂波特征相消器[J]. 航空学报, 2011, 32(5): 866-872.
[14]	王克让, 贺亚鹏, 朱晓华. 多输入多输出电磁矢量阵列雷达的DOD和DOA联合估计[J]. 航空学报, 2011, 32(12): 2287-2292.
[15]	赵军;朱兆达. 非正侧视阵列机载雷达多空间角补偿算法[J]. 航空学报, 2010, 31(11): 2216-2221.