基于非均匀子阵的双和/三差通道同时抑制主副瓣干扰

doi:10.3969/j.issn.0372-2112.2019.04.019

电子学报 ›› 2019, Vol. 47 ›› Issue (4): 907-914.DOI: 10.3969/j.issn.0372-2112.2019.04.019

基于非均匀子阵的双和/三差通道同时抑制主副瓣干扰

孙晨伟, 陶海红, 郭晓双, 宋嘉奇

西安电子科技大学雷达信号处理国家重点实验室, 陕西西安 710071

收稿日期:2016-11-25 修回日期:2018-09-15 出版日期:2019-04-25
- 作者简介:
- 孙晨伟 女,1988年7月出生于山东省济南市.现在西安电子科技大学雷达信号处理国家重点实验室攻读博士.研究方向为阵列信号处理.E-mail:sun_chenwei@163.com;陶海红 女,1976年4月生于安徽省亳州市.西安电子科技大学雷达信号处理国家重点实验室教授、博士生导师,从事信号与信息处理的研究与教学工作.主要研究方向为阵型优化设计和自适应波束形成及智能方法在信号处理中的应用.E-mail:hhtao@xidian.edu.cn
- 基金资助:
- 高校基本科研业务费 (No.BDY06）; 中央军委科技委创新项目 (No.**-H863-**-XJ-001-***-02）

Mainlobe and Sidelobe Interferences Suppression Based on Two Sum & Three Difference Channels for Irregular Subarrays

SUN Chen-wei, TAO Hai-hong, GUO Xiao-shuang, SONG Jia-qi

National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China

Received:2016-11-25 Revised:2018-09-15 Online:2019-04-25 Published:2019-04-25
- Supported by:
- Fundamental Research Funds for Universities (No.BDY06); Innovation Program of Science and Technology Commission of PRC Central Military Commission (No.**-H863-**-XJ-001-***-02)

摘要/Abstract

摘要： 针对相控阵单脉冲雷达体制测角的情况，本文提出了一种降维双和/三差通道自适应同时抑制主、副瓣干扰的算法.该算法利用权值逼近的方法，在非均匀子阵上形成静态和、俯仰差、方位差、双差波束以及指向副瓣干扰方向的和波束，差波束、指向副瓣干扰的和波束作为静态和波束的辅助波束，双差波束作为差波束的辅助波束，根据维纳滤波原理通过对辅助波束的优化加权对消掉和波束中的主副瓣干扰信号及差波束中的主瓣干扰信号，设计出一种新的干扰抑制和测角跟踪算法.所提算法结构简单、测角精度高、能同时抑制主副瓣干扰且鉴角斜率无需修正.仿真实验和性能分析证明了所提算法的有效性和正确性.

关键词: 降维, 自适应单脉冲, 主副瓣干扰, 辅助波束, 维纳滤波

Abstract: For adaptive monopulse technology in phased radar system,a novel algorithm for suppressing mainlobe and sidelobe interferences based on two sum and three difference channels is proposed in this paper.Weighting approximation method is adopted to produce weights to form sum,azimuth difference,elevation difference and double difference beams for irregular subarrays.Then azimuth difference,elevation difference beams and sum beam in the direction of sidelobe interference work as the auxiliary beams of static sum beam,while double difference beam works as the auxiliary beam of azimuth difference and elevation difference beams.Based on the principle of Wiener filter,the auxiliary beams are weighted in the optimized way to cancel the mainlobe and sidelobe interferences in the sum beam and mainlobe interference in azimuth difference and elevation difference beams.The proposed algorithm is of simple structure and high accuracy.It is able to simultaneously suppress the mainlobe and sidelobe interferences without distortion of monopulse ratio.Finally,the simulation results and analyses prove the effectiveness of the method.

Key words: dimension reduction, adaptive monopulse, mainlobe and sidelobe interferences, auxiliary beam, Wiener filter

中图分类号:

TN953

孙晨伟, 陶海红, 郭晓双, 等. 基于非均匀子阵的双和/三差通道同时抑制主副瓣干扰[J]. 电子学报, 2019, 47(4): 907-914.

SUN Chen-wei, TAO Hai-hong, GUO Xiao-shuang, et al. Mainlobe and Sidelobe Interferences Suppression Based on Two Sum & Three Difference Channels for Irregular Subarrays[J]. Acta Electronica Sinica, 2019, 47(4): 907-914.

参考文献

[1] Ulrich R O NICKEL,Eric CHAUMETTE,Pascal LARZABAL.Statistical performance prediction of generalized monopulse estimation[J].IEEE Transactions on Aerospace and Electronic Systems,2011,47(1):381-404.
[2] SP APPLEBAUM,R WASIEWICZ.Adaptive arrays with main beam constraints[J].IEEE Transactions on Antennas and Propagation,1976,24(5):650-662.
[3] YU Kai-Bor,MURROW D J.Adaptive digital beamforming radar for monopulse angle estimation in jamming[J].IEEE Transactions on Aerospace and Electronic Systems,2001,37(2):508-523.
[4] 胡航,张皓.一种改进的两级子阵级自适应单脉冲方法[J].电子学报,2009,37(9):1996-2003. HU Hang,ZHANG Hao.An improved two-stage processing approach of adaptive monopulse at subarray level[J].Acta Electronica Sinica,2009,37(9):1996-2003.(in Chinese)
[5] Mostafa RAHMANI,Mohammad Hasan BASTANI.Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus interferences covariance matrix estimation[J].IET Signal Processing,2014,8(5):507-520.
[6] 苏保伟,王永良,李荣峰,周良柱.阻塞矩阵方法对消主瓣干扰[J].系统工程与电子技术,2005,27(11):1830-1832. SU Bao-wei,WANG Yong-liang,LI Rong-feng,ZHOU Liang-zhu.Mainlobe interference cancelling method via block matrix[J].System Engineering and Electronics,2005,8(5):507-520.(in Chinese)
[7] Arash KHABBAZIBASMENJ,Sergiy A VOROBYOV,Aboulnasr HASSANIEN.Robust adaptive beamforming based on steering vector estimation with as little as possible prior information[J].IEEE Transactions on Signal Processing,2012,60(6):2974-2987.
[8] 孙晨伟,陶海红,王莹,吕红丽.大型阵列降维-和差多波束形成的联合优化算法[J].电子学报,2013,41(3):519-525. SUN Chen-wei,TAO Hai-hong,WANG Ying,LÜ Hong-li.Dimensionality reduction of large scale phased array-joint optimization of sum and difference multiple beams[J].Acta Electronica Sinica,2013,41(3):519-525.(in Chinese)
[9] 何学辉,吴兆平,吴顺君.一种任意阵的方向图模值综合方法[J].电子学报,2010,38(10):2292-2296. HE Xue-hui,WU Zhao-ping,WU Shun-jun.Pattern synthesis with desired magnitude response for arbitrary arrays[J].Acta Electronica Sinica,2010,38(10):2292-2296.(in Chinese)
[10] LOFBERG J.YALMIP:A toolbox for modeling and optimization in MATLAB[A].2004 IEEE International Conference on Robotics and Automation (IEEE Cat.No.04CH37508)[C].Taiwan:CACSD,2004.284-289.
[11] 束宇翔,廖桂生,杨志伟.维纳滤波最优权修正导向矢量的SAR-GMTI动目标径向速度估计方法[J].电子学报,2011,39(9):1986-1991. SHU Yu-xiang,LIAO Gui-sheng,YANG Zhi-wei.Radial velocity estimation of moving targets based on modifying the steering vector with Wiener optimal weights in SAR-GMTI Radar system[J].Acta Electronica Sinica,2011,39(9):1986-1991.(in Chinese)

[1]	孟海宁, 冯锴, 朱磊, 张贝贝, 童新宇, 黑新宏. 基于Laplacian图谱的短文本聚类算法[J]. 电子学报, 2021, 49(9): 1716-1723.
[2]	廖彬, 黄静莱, 王鑫, 孙瑞娜, 葛晓燕, 国冰磊. SCEA:一种适应高维海量数据的并行聚类集成算法[J]. 电子学报, 2021, 49(6): 1077-1087.
[3]	高妮, 高岭, 贺毅岳, 王海. 基于自编码网络特征降维的轻量级入侵检测模型[J]. 电子学报, 2017, 45(3): 730-739.
[4]	梁国龙, 赵文彬, 付进. 一种降维空域滤波矩阵的设计方法[J]. 电子学报, 2017, 45(2): 417-423.
[5]	李万益, 孙季丰. 基于高斯增量降维与流形Boltzmann优化的人体运动形态估计[J]. 电子学报, 2017, 45(12): 3060-3069.
[6]	陈思宝, 陈道然, 罗斌. 基于L1-范数的最大间距准则[J]. 电子学报, 2016, 44(6): 1383-1388.
[7]	潘泓, 朱亚平, 夏思宇, 金立左. 基于上下文信息和核熵成分分析的目标分类算法[J]. 电子学报, 2016, 44(3): 580-586.
[8]	陈小红, 李霞, 王娜. 高维多目标优化中基于稀疏特征选择的目标降维方法[J]. 电子学报, 2015, 43(7): 1300-1307.
[9]	何林远, 毕笃彦, 马时平, 周理, 南栋. 基于SIFT和MSE的局部聚集特征描述新算法[J]. 电子学报, 2014, 42(8): 1619-1623.
[10]	巩敦卫, 王更星, 孙晓燕. 高维多目标优化问题融入决策者偏好的集合进化优化方法[J]. 电子学报, 2014, 42(5): 933-939.
[11]	田斌, 朱岱寅, 吴迪, 淘满意, 朱兆达. 稳健的多通道SAR/GMTI通道盲均衡算法[J]. 电子学报, 2014, 42(3): 424-431.
[12]	王雪松, 胡汇涓, 程玉虎. 遥感影像的半监督判别局部排列降维[J]. 电子学报, 2014, 42(1): 84-88.
[13]	孙晨伟, 陶海红, 王莹, 吕红丽. 大型阵列降维-和差多波束形成的联合优化算法[J]. 电子学报, 2013, 41(3): 519-525.
[14]	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.
[15]	刘红明;何子述;夏威;程婷;李军. 无参考信号条件下基于MSWF的DOA估计算法[J]. 电子学报, 2010, 38(9): 1979-1983.

基于非均匀子阵的双和/三差通道同时抑制主副瓣干扰

Mainlobe and Sidelobe Interferences Suppression Based on Two Sum & Three Difference Channels for Irregular Subarrays

PDF

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