抗主瓣干扰的平移不变子阵干涉测角方法

doi:10.7527/S1000-6893.2013.0257

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抗主瓣干扰的平移不变子阵干涉测角方法

李婧, 曾操, 廖桂生, 陶海红, 赵元楠

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:2013-01-29 修回日期:2013-05-12 出版日期:2013-12-25 发布日期:2013-05-27
通讯作者: 曾操，Tel.：029-88201692E-mail：czeng@mail.xidian.edu.cn E-mail:czeng@mail.xidian.edu.cn
作者简介:李婧女，硕士研究生。主要研究方向：阵列信号处理。Tel：010-68198867E-mail：wendyleeyoyo@163.com；曾操男，博士，副教授。主要研究方向：阵列信号处理与动目标检测。Tel：029-88201692E-mail：czeng@mail.xidian.edu.cn；廖桂生男，博士，教授，博士生导师。主要研究方向：阵列信号处理与雷达信号处理。Tel：029-88201030E-mail：liaogs@xidian.edu.cn；陶海红女，博士，教授，博士生导师。主要研究方向：阵列信号处理与波形设计。Tel：029-88201692E-mail：hhtao@xidian.edu.cn
基金资助:
国家“973”计划（2011CB707001）；国家自然科学基金青年基金（61101243）；国家自然科学基金（60971108）；重点实验室基金（9140C***0104）；预研基金（9140A***0126）

Interferometric DOA Estimation Based on Shift Invariance Subarrays for Suppressing Mainlobe Jamming

LI Jing, ZENG Cao, LIAO Guisheng, TAO Haihong, ZHAO Yuannan

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

Received:2013-01-29 Revised:2013-05-12 Online:2013-12-25 Published:2013-05-27
Supported by:
National Basic Research Program of China (2011CB707001);National Natural Science Foundation of China for Youth (61101243); National Natural Science Foundation of China (60971108); Key Laboratory Fund (9140C***0104); Pre-research Fund (9140A***0126)

摘要/Abstract

摘要：

针对存在主瓣干扰时的目标波达方向（DOA）估计问题，提出了一种利用子阵平移不变性的自适应干涉测角方法。首先，将面阵划分成经过平移能重合的上、下子阵；其次，用训练样本估计上、下协方差矩阵，各自经特征分解后获得特征矢量；然后，通过主特征矢量空间构造上、下子阵的干扰正交补空间，将波束指向的导向矢量向干扰正交补空间投影，得到子阵抗干扰权；接着，利用上、下子阵自适应干扰抑制后的输出在子阵级通过干涉测角获得目标俯仰角估计；最后，对方位维做类似处理，获得方位角估计。数学推导证明干涉测角与自适应波束畸变无关。与其他方法相比，该方法具有更好的抗干扰性能与更佳的测角性能。实测和仿真数据的处理结果显示了该方法的有效性及优越性。

关键词: 阵列处理, 波达方向, 主瓣干扰, 自适应系统, 干涉测角

Abstract:

To deal with the problem of target direction of arrival (DOA) estimation in the presence of mainlobe jamming, a novel method for adaptive interferometric DOA estimation by using subarray shift invariance has been proposed. First, the planar array is divided into up and down subarrays satisfying that one can be overlaped to the other by shift; second, the covariance matrices corresponding to up and down subarays are calculated with training samples and eigenvectors are obtained by eigen decompositions of the two covariance matrices, respectively; third, adaptive up and down weight vectors are obtained by the projection of beam direction vector onto orthogonal subspaces of interfences, respectively; fourth, elevation angle can be estimated by interferometric processing between up and down outputs of anti-jamming; finally, azimuth angle can be achieved by similar processing between right and left subarrays. It is proved that DOA estimations have nothing to do with adaptive beam distortions. Compared with other methods, the proposed method has a better performance of interference suppression and a higer precision of DOA estimation. Results of measured and simulated data demonstrate the effectiveness and superiority of the proposed method.

Key words: array processing, direction of arrival, mainlobe jamming, adaptive systems, interferometry

中图分类号:

李婧, 曾操, 廖桂生, 陶海红, 赵元楠. 抗主瓣干扰的平移不变子阵干涉测角方法[J]. 航空学报, 2013, 34(12): 2804-2814.

LI Jing, ZENG Cao, LIAO Guisheng, TAO Haihong, ZHAO Yuannan. Interferometric DOA Estimation Based on Shift Invariance Subarrays for Suppressing Mainlobe Jamming[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(12): 2804-2814.

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抗主瓣干扰的平移不变子阵干涉测角方法

Interferometric DOA Estimation Based on Shift Invariance Subarrays for Suppressing Mainlobe Jamming

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