西安电子科技大学学报 ›› 2019, Vol. 46 ›› Issue (2): 69-77.doi: 10.19665/j.issn1001-2400.2019.02.012

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MIMO雷达空时编码和接收权联合稳健设计

王洪雁1,2,乔恵娇1,2,裴炳南1,2   

  1. 1. 大连大学 辽宁省北斗高精度位置服务技术工程实验室,辽宁 大连 116622
    2. 大连大学 大连市环境感知与智能控制重点实验室,辽宁 大连 116622
  • 收稿日期:2018-03-23 出版日期:2019-04-20 发布日期:2019-04-20
  • 作者简介:王洪雁(1979-),男,副教授,E-mail:gglongs@163.com
  • 基金资助:
    国家自然科学基金(61301258);国家自然科学基金(61271379);中国博士后科学基金(2016M590218)

Joint robust design of the space-time code and receive filter for multiple-input multiple-output radar

WANG Hongyan1,2,QIAO Huijiao1,2,PEI Bingnan1,2   

  1. 1. Liaoning Engineering Lab. of BEIDOU High-precision Location Service, Dalian Univ., Dalian 116622, China
    2. Dalian Key Lab. of Environmental Perception and Intelligent Control, Dalian Univ., Dalian 116622, China
  • Received:2018-03-23 Online:2019-04-20 Published:2019-04-20

摘要:

针对基于多进多出雷达的空时自适应处理方法的检测性能对目标参数估计误差敏感从而导致系统检测概率稳健性较差的问题,提出一种改善多进多出空时自适应检测性能的发射波形和接收权联合稳健设计方法。首先推导了多进多出空时自适应输出信干噪比的数学表达,而后构建了目标空时频导向矢量估计误差模型。在此误差模型、波形恒模特性、旁瓣以及杂波抑制等约束下,基于最大化最差情况下输出信干噪比准则,提出了改善多进多出空时自适应检测性能的发射波形相关阵和接收权联合稳健优化问题。为求解所得复杂非线性优化问题,提出一种迭代方法,其中每一步都可转化为半定规划问题,因而可获得高效求解。仿真结果表明,与现存主要的稳健方法、非稳健方法及不相关波形相比,所提方法可显著改善多进多出空时自适应检测概率的稳健性能。

关键词: 多进多出雷达, 联合稳健优化, 恒模约束, 旁瓣抑制, 杂波抑制

Abstract:

For the issue that the detection performance of multiple-input multiple-output (MIMO) radar based space-time adaptive processing (STAP) is sensitive to the parameter estimation error such that the detection probability robustness is rather poor, a joint robust design method for the transmit waveform and receive weight is proposed. The mathematical expression for the output signal-inference-noise ratio (SINR) of MIMO-STAP is firstly derived, and then the estimation error model of the space-time-frequency steering vector of the target can be constructed. With the constraints of the obtained error model, waveform constant modulus property, as well as sidelobe and clutter suppression, under the criterion of maximizing the worst-case output SINR, the joint robust optimization problem of transmit waveform covariance matrix and receive weight is formulated to improve the detection probability of MIMO-STAP. To solve the resultant sophisticated nonlinear optimization issue, an iterative approach is developed here. Each step of the developed method can be recast as a semidefinite programming problem, and hence it can be solved effectively. Compared to the existing state-of-the-art robust and non-robust methods as well as uncorrelated waveforms, the proposed method, it is shown by simulation, can improve the robustness of the detection probability of MIMO-STAP considerably.

Key words: multiple-input multiple-output radar, joint robust optimization, constant mode constraint, sidelobe suppression, clutter suppression

中图分类号: 

  • TN958
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