双基地MIMO雷达的角度估计方法研究

发布时间：2018-01-17 14:05

本文关键词：双基地MIMO雷达的角度估计方法研究　出处：《南京理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来,多输入多输出(MIMO)雷达受到国内学者的广泛关注。MIMO雷达采用多个发射阵元发射信号和多个接收阵元接收信号,具有更多的设计自由度,这使得MIMO雷达具有独特的优势,比如提高参数估计性能和角度分辨率。本文围绕集中式双基地MIMO雷达角度估计算法展开研究,在不同的情况下对多个目标进行波离方位角(DOD)和波达方位角(DOA)的联合估计。本文的主要工作内容如下：首先研究了高斯白噪声环境下的双基地MIMO雷达DOA与DOD联合估计方法,包括二维Capon谱估计算法、ESPRIT算法、传播算子(PM)算法以及多项式求根算法,并且给出了ESPRIT算法和PM算法的参数配对方法。然后研究了色噪声环境下的双基地MIMO雷达DOA与DOD联合估计方法,包括四阶积累MUSIC-ESPRIT算法和子阵划分法,这两种方法分别利用四阶积量量对高斯过程不敏感和两个子阵噪声的互协方差矩阵为零的特性来消除色噪声的影响。最后研究了双基地MIMO雷达对相干目标的DOA与DOD联合估计方法。重点研究了白噪声环境下基于矩阵重构的角度估计算法,以及色噪声环境下基于四阶积累量和块Hankel矩阵的角度估计算法,并仿真证明了这两种算法的有效性。
[Abstract]:In recent years, multi-input and multi-output MIMO-radar has been widely concerned by domestic scholars. MIMO radar uses multiple emitters to transmit signals and multiple received array elements to receive signals. With more design degrees of freedom, this makes MIMO radar have a unique advantage. For example, improving the performance of parameter estimation and angle resolution. This paper focuses on the centralized bistatic MIMO radar angle estimation algorithm. The joint estimation of wave azimuth DOD) and DOD (DOD) is carried out under different conditions. The main work of this paper is as follows: Firstly, the joint estimation method of bistatic MIMO radar DOA and DOD under Gao Si white noise environment is studied, including two-dimensional Capon spectrum estimation algorithm and Esprit algorithm. Propagation operator (PMM) algorithm and polynomial rooting algorithm. The parameter pairing method of ESPRIT algorithm and PM algorithm is given. Then the joint estimation method of DOA and DOD for bistatic MIMO radar under colored noise environment is studied. It includes four order cumulative MUSIC-ESPRIT algorithm and submatrix partition method. In order to eliminate the influence of color noise, the fourth order product quantity is insensitive to Gao Si process and the cross covariance matrix of two subarray noise is zero. Finally, the effect of bistatic MIMO radar on coherent target is studied. In this paper, the joint estimation method of DOA and DOD is proposed, and the angle estimation algorithm based on matrix reconstruction in white noise environment is studied. And the angle estimation algorithm based on fourth-order cumulant and block Hankel matrix in colored noise environment. The simulation results show that these two algorithms are effective.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN958

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