基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法

doi:10.7527/S1000-6893.2015.0070

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基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法

王珽, 赵拥军

信息工程大学导航与空天目标工程学院, 郑州 450001

收稿日期:2014-12-10 修回日期:2015-03-10 出版日期:2015-11-15 发布日期:2015-03-26
通讯作者: 王珽,Tel.:0371-81622588,E-mail:wangtingsp@163.com E-mail:wangtingsp@163.com
作者简介:王珽,男,博士研究生。主要研究方向:机载MIMO雷达空时自适应处理技术。Tel:0371-81622588,E-mail:wangtingsp@163.com;赵拥军,男,教授,博士生导师。主要研究方向:雷达信号处理、阵列信号处理。Tel:0371-81622581,E-mail:zhaoyjzz@163.com
基金资助:
国家自然科学基金(41301481)

Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP

WANG Ting, ZHAO Yongjun

School of Navigation and Aerospace Target Engineering, Information Engineering University, Zhengzhou 450001, China

Received:2014-12-10 Revised:2015-03-10 Online:2015-11-15 Published:2015-03-26
Supported by:
National Natural Science Foundation of China (41301481)

摘要/Abstract

摘要：

针对机载多输入多输出(MIMO)雷达空时自适应处理(STAP)中期望目标导向矢量的失配问题,提出一种基于三迭代(TRIA)与二阶锥规划(SOCP)的稳健降维MIMO-STAP方法。首先将MIMO-STAP权矢量分解为发射、接收、多普勒3个低维权矢量的Kronecker积,然后分别限定实际发射、接收、多普勒导向矢量与假定导向矢量之间的误差范数边界,通过优化最差性能,利用SOCP对各个低维权矢量进行三迭代求解,最后进行权矢量合成。该方法在保证机载MIMO雷达获取稳健STAP性能的同时,通过三迭代降维处理,能够有效降低训练样本数需求与运算复杂度,因此更具有实际应用价值。仿真结果验证了算法的有效性。

关键词: 机载MIMO雷达, 空时自适应处理, 稳健, 降维, 三迭代, 二阶锥规划

Abstract:

To solve the problem of the mismatch errors between the actual and presumed signal steering vectors in airborne multiple-input multiple-output (MIMO) radar space-time adaptive processing (STAP), a robust reduced-dimension MIMO-STAP method based on tri-iterative algorithm (TRIA) and second-order cone programming (SOCP) is proposed. Firstly the MIMO-STAP weight vector is decomposed into the Kronecker product of the transmitting, the receiving and the Doppler weight vectors. Then by imposing a bound on the errors between the actual transmitting, receiving and Doppler steering vectors and the presumed steering vectors, SOCP is used to optimize the worst case performance. The three low-dimension weight vectors are resolved based on the TRIA to synthesize the final weight vector. The proposed method can significantly decrease the training sample requirement and the computational complexity while maintaining the robust STAP performance of airborne MIMO radar, which is more valuable for practical engineering application. Simulation results verify the effectiveness of the proposed method.

Key words: airborne multiple-input multiple-output (MIMO) radar, space-time adaptive processing, robustness, dimension reduction, tri-iterative algorithm, second-order cone programming

中图分类号:

V243.2
TN957

王珽, 赵拥军. 基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法[J]. 航空学报, 2015, 36(11): 3706-3714.

WANG Ting, ZHAO Yongjun. Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(11): 3706-3714.

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E-mail：hkxb@buaa.edu.cn

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基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法

Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP

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