一种空时联合优化的MIMO雷达波形设计方法

doi:10.3969/j.issn.1001-2400.2014.03.007

J4 ›› 2014, Vol. 41 ›› Issue (3): 41-48+70.doi: 10.3969/j.issn.1001-2400.2014.03.007

一种空时联合优化的MIMO雷达波形设计方法

王旭;周生华;刘宏伟;保铮

(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:2013-01-27 出版日期:2014-06-20 发布日期:2014-07-10
通讯作者: 王旭
作者简介:王旭(1987-)，男，西安电子科技大学博士研究生，E-mail：xuwangxd@gmail.com．
基金资助:
国家自然科学基金资助项目(61271291，61201285)；新世纪优秀人才支持计划资助项目(NCET-09-0630)；全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)；国家部委预研基金、中央高校基本科研业务费专项资金联合资助项目

Waveform design method for MIMO radar based on joint spatial and temporal optimization

WANG Xu;ZHOU Shenghua;LIU Hongwei;BAO Zheng

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2013-01-27 Online:2014-06-20 Published:2014-07-10
Contact: WANG Xu

摘要/Abstract

摘要：

针对多输入多输出(MIMO)雷达波形设计中空域合成信号的时域特性较差的情况，提出了一种空时联合优化的MIMO雷达波形设计方法．该方法在波形设计中对波形的空域功率分布以及空域合成信号的自相关特性进行了联合考虑．基于空域信号的自相关旁瓣电平以及各阵元信号间的相关性，对集中式MIMO雷达的正交波形设计与具有特定方向图的波形设计建立了统一的优化模型，并采用序列二次规划方法与加权迭代方法求解．仿真结果表明，文中所设计的波形不仅能够很好地逼近期望方向图，而且空域合成信号具有较好的自相关特性．

关键词: 多输入多输出(MIMO)雷达, 波形设计, 发射方向图, 空时联合优化, 峰值旁瓣电平

Abstract:

In the waveform design for MIMO radar, the signal in the direction of interest may have a poor temporal property. Therefore, a waveform design method for MIMO radar based on joint spatial and temporal optimization is proposed, by taking account of the power distribution in space and the auto-correlation of the signal in the interested direction jointly. Based on the auto-correlation sidelobe level and correlation coefficients among transmitted signals, the optimization model for waveform design can be established, which is identical for the orthogonal waveform and the waveform with a specific beampattern. Then, the waveform can be optimized by using sequential quadratic programming (SQP) or weigthed iterative algorithm based on gradient information. Numerical results show that the desired beampttern can be approached by the waveform designed and that the signals in the directions of interest have good auto-correlation property.

Key words: MIMO radar, waveform design, transmit beampattern, joint saptial and temporal optimization, peak sidelobe level

王旭;周生华;刘宏伟;保铮. 一种空时联合优化的MIMO雷达波形设计方法[J]. J4, 2014, 41(3): 41-48+70.

WANG Xu;ZHOU Shenghua;LIU Hongwei;BAO Zheng. Waveform design method for MIMO radar based on joint spatial and temporal optimization[J]. J4, 2014, 41(3): 41-48+70.

参考文献

［1］ Haimovich A M, Blum R S, Cimini L J. MIMO Radar with Widely Separated Antennas［J］. IEEE Signal Processing Magazine, 2008, 25(1): 116-129.
［2］ Li J, Stoica P. MIMO Radar with Colocated Antennas［J］. IEEE Signal Processing Magazine, 2007, 24(5): 106-114.
［3］ Deng H. Polyphase Code Design for Orthogonal Netted Radar Systems［J］. IEEE Transactions on Signal Processing, 2004, 52(11): 3126-3135.
［4］ Liu B, He Z S, Zeng J K, et al. Polyphase Orthogonal Code Design for MIMO Radar Systems［C］//International Conference on Radar. Piscataway: IEEE, 2006: 113-116.
［5］ He H, Stoica P, Li J. Designing Unimodular Sequence Sets with Good Correlations—Including an Application to MIMO Radar［J］. IEEE Transactions on Signal Processing, 2009, 57(11): 4391-4405.
［6］ Stoica P, Li J, Xie Y. On Probing Signal Design for MIMO Radar［J］. IEEE Transactions on Signal Processing, 2007, 55(8): 4151-4161.
［7］ Ahmed S, Thompson J S, Petillot Y, et al. Unconstrainted Synthesis of Covariance Matrix for MIMO Radar Transmit Beampattern［J］. IEEE Transactions on Signal Processing, 2011, 59(8): 3837-3849.
［8］ Stoica P, Li J, Zhu X. Waveform Synthesis for Diversity-based Transmit Beampattern Design［J］. IEEE Transactions on Signal Processing, 2008, 56(6): 2593-2598.
［9］ Ahmed S, Thompson J S, Petillot Y, et al. Finite Alphabet Constant-envelope Waveform Design for MIMO Radar［J］. IEEE Transactions on Signal Processing, 2011, 59(11): 5326-5337.
［10］ Wang Y C, Wang X, Liu H W, et al. On the Design of Constant Modulus Probing Signals for MIMO Radar［J］. IEEE Transactions on Signal Processing, 2012, 60(8): 4432-4438.
［11］胡亮兵, 刘宏伟, 刘保昌, 等. MIMO雷达发射方向图匹配和波形优化方法［J］. 西安电子科技大学学报, 2009, 36(6): 1021-1026.
Hu Liangbing, Liu Hongwei, Liu Baochang, et al. Transmit Beampattern Matching Design and Waveform Optimization for MIMO Radar［J］. Journal of Xidian University, 2009, 36(6): 1021-1026.
［12］周生华. 分集MIMO雷达目标散射特性和检测算法［D］. 西安: 西安电子科技大学, 2011.
［13］王勇, 刘宏伟, 纠博, 等. MIMO雷达稳健的自适应失配滤波器设计算法［J］. 西安电子科技大学学报, 2012, 39(4): 18-22.
Wang Yong, Liu Hongwei, Jiu Bo, et al. Robust Adaptive Mismatched Filter in MIMO Radar［J］. Journal of Xidian University, 2012, 39(4): 18-22
［14］ Grant M, Boyd S. CVX: Matlab Software for Disciplined Convex Programming［DB/OL］. ［2008-04-08］. http://stanford.edu/～boyd/cvx.

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一种空时联合优化的MIMO雷达波形设计方法

Waveform design method for MIMO radar based on joint spatial and temporal optimization

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