基于多级维纳滤波的MIMO雷达自适应脉冲压缩方法

张娟; 张林让; 徐青; 杨志伟

doi:10.3724/SP.J.1146.2009.01215

基于多级维纳滤波的MIMO雷达自适应脉冲压缩方法

doi: 10.3724/SP.J.1146.2009.01215

计量
- 文章访问数: 3770
- HTML全文浏览量: 79
- PDF下载量: 884
- 被引次数: 0
出版历程
- 收稿日期: 2009-09-11
- 修回日期: 2009-12-29
- 刊出日期: 2010-05-19

Adaptive Pulse Compression of MIMO Radar Based on MSWF

摘要

摘要: 自适应脉冲压缩能够有效抑制MIMO雷达发射波形间的互干扰。该文提出了一种基于多级维纳滤波器(MSWF)的MIMO雷达自适应脉冲压缩方法，该方法利用多级维纳滤波器的前后向递推系数计算脉冲压缩滤波器的权系数。与基于最小均方误差(MMSE)的自适应脉冲压缩方法相比，该方法无需对观测数据的协方差矩阵进行估计和求逆，大大降低了计算复杂度。计算机仿真结果表明，该方法具有与MMSE自适应脉冲压缩方法和广义旁瓣相消(GSC)自适应脉冲压缩方法相近的脉冲压缩性能。
- MIMO雷达; 多级维纳滤波器; 自适应脉冲压缩; 低复杂度
Abstract: Adaptive Pulse Compression (APC) can effectively mitigate the mutual interference between the transmitting waveforms of Multiple-Input Multiple-Output (MIMO) radar. In this paper, APC of MIMO radar based on Multi-Stage Wiener Filter (MSWF) is proposed, in which, the weights of forward and backward recursion of MSWF are computed to obtain the weight coefficients of the APC. The proposed method does not involve the estimate and the inverse of the sample covariance matrix, thus indicating much lower computation complexity. The numerical results indicate that the proposed method is superior to the conventional matched filter, and performs similarly as the APC based on MMSE and GSC.

HTML全文

参考文献(1)

Li Jian, Stoica P, Xu Lu-zhou, and Roberts W. On parameter[2]identifiability of MIMO radar [J]. IEEE Signal Processing Letters, 2007, 14(12): 968-971.[3]Xu Lu-zhou, Li Jian, and Stoica P. Target detection and parameter estimation for MIMO radar systems [J].IEEE Transactions on Aerospace and Electronic Systems.2008, 44(3):927-939[4]董伟, 李建东, 吕卓, 赵林靖. 基于MUSIC和ML方法的MIMO系统参数估计[J].电子与信息学报.2008, 30(7):1552-1556浏览Dong Wei, Li Jian-dong, L Zhuo, and Zhao Lin-jing. Parameter estimation for MIMO system based on MUSIC and ML methods[J].Journal of Electronics Information Technology.2008, 30(7):1552-1556[5]Blunt S D and Gerlach K. Multistatic adaptive pulse compression[J].IEEE Transactions on Aerospace and Electronic Systems.2006, 42(3):891-902[6]Blunt S D and Gerlach K. Adaptive pulse compression via MMSE estimation [J].IEEE Transactions on Aerospace and Electronic Systems.2006, 42(2):572-583[7]Li N, Tang J, and Peng Y N, Adaptive pulse compression of MIMO radar based on GSC. Electronics Letters, 2008, 44(20): 1217-1218.[8]Honig M L and Goldstein J S. Adaptive reduced-rank interference suppression based on the multistage wiener filter [J].IEEE Transactions on Communications.2002, 50(6):986-994[9]Ricks D C, Cifuentes P G, and Goldstein J S. Adaptive beamforming using the multistage Wiener filter with a soft stop. The Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, Pacific Grove CA, November, 2001: 1401-1406.[10]Deng Hai. Polyphase code design for orthogonal netted radar systems [J].IEEE Transactions on Signal Processing.2004, 52(11):3126-3135

施引文献

资源附件(0)

访问统计