双基地MIMO雷达波形解相关算法  

Waveform de-correlation method in bistatic MIMO radars

作　　者：党博[1] 廖桂生[1] 李军[1] 

机构地区：[1]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

出　　处：《西安电子科技大学学报》2014年第2期32-36,78,共6页Journal of Xidian University

基　　金：国家973计划资助项目(2011CB707001);国家自然科学基金资助项目(61271292)

摘　　要：提出一种基于最小均方误差(MMSE)准则的多输入多输出(MIMO)雷达波形解相关算法,在接收端消除波形相关性对系统的影响.建立了MMSE解相关器代价函数,通过共轭梯度法推导出其最小二乘解,解决了传统解相关器中色噪声增强的问题;利用级联多项式展开方法对该算法进行化简,有效降低了计算复杂度.仿真结果以双基地MIMO雷达收发角度联合估计为例,验证了该算法的有效性.The auto-correlation and cross-correlation properties of transmit waveforms have great effects on the performance of MIMO radar systems. However, it is difficult to design waveforms that have ideal auto- correlation properties as well as cross-correlation ones. In this paper, an MMSE based waveform de- correlation algorithm is proposed to cancel the effects of the auto-correlation and cross-correlation of transmit waveforms in the receiver. The received signal model of bistatie MIMO radars is first derived. Then, the de-correlation filters are derived by using the MMSE method to reduce the influences of colored noise enhancement. Finally, the polynomial expansion method is used to simplify the computational complexity of the proposed de-correlation filters. The performance of the proposed method is verified by applying it to bistatic MIMO radar multi-target localization. Simulation results demonstrate the effectiveness of the proposed algorithm.

关 键 词：双基地雷达 多输入多输出 波形相关性 最小均方误差 

分 类 号：TN959.73[电子电信—信号与信息处理]