MIMO Radar Detection Based on Fractional Lower Order Statistics Eigenfilter

摘要：

This paper addresses the problem of the target detection for MIMO radar in correlated non-Gaussian clutter with traditional MTD, and a fractional lower order statistics eigenfilter (FLOS-EF) is proposed. The FLOS-EF utilizes the fractional lower order statistics (FLOS) and the optimum filtering theories, and mainly follows the rule of maximizing the output fractional lower order signal-to-clutter power ratio. It firstly gives the Cholesky decomposition of the clutter fractional lower order covariance matrix. Then the decompounded matrix is used for the transformation of the signal fractional lower order covariance matrix. Lastly, the optimum FLOS-EF is determined by the eigenvector corresponding to the maximum eigenvalue of the transformed signal matrix. Simulation results show that, the detection performance of FLOS-EF obviously outperforms MTD for MIMO radar in correlated non-Gaussian and Gaussian clutter environments.

关键词： mutiple input multiple output (MIMO) radar target detection eigenfilter fractional lower order statistics non-Gaussian clutter

作者: Xiaobo Zhu Shouyong Wang

作者单位: Key Research Laboratory Wuhan Radar Institute Wuhan, P. R. China, 430019

会议类型: 国际会议

会议名称: 2011 International Conference on Communication and Electronics Information(ICCEI 2011)(2011年通信和电子信息国际会议)

会议地点: 海口

会议语种:英文

页码: 217-220

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）