作　　者： ; ;

机构地区： 深圳大学信息工程学院

出　　处： 《沈阳工业大学学报》 2013年第1期93-98,共6页

摘　　要： 针对MUSIC算法的分辨力受信噪比、快拍数及阵元数等因素限制的问题,利用各阵元接收数据的延时相关函数重新构造协方差矩阵,提出了基于延时相关预处理的MUSIC算法.根据阵元间的延时相关函数与原阵列流型及信号延时相关函数的关系,推导了4个与原阵列流型相同(共轭)的延时相关函数矩阵,分别对各矩阵求协方差并按规则求和得到新的协方差矩阵,之后对协方差矩阵进行特征分解,根据信号子空间处理稳健性高和噪声子空间处理估计精度高的特点构造谱函数进行谱峰搜索,实现DOA估计.通过仿真实验验证了本文算法的可行性和有效性. To solve the problem that the resolution of MUSIC algorithm is limited by such factors as signal to noise ratio （SNR）, number of snapshots and number of array elements, the covariance matrix was reconstructed with the delay correlation function of data received from each array element, and the MUSIC algorithm based on the delay correlation preprocessing was proposed. According to the relationship between the delay correlation function of array elements as well as the delay correlation function of original array manifold and signals, four delay correlation function matrixes which are as the same as the original array manifold were derived. The covariance of each matrix was attained, and the summation was performed according to the rules to obtain a new covariance matrix. Then the eigen-decomposition of covariance matrix was carried out. In addition, the spectrum function was established according to the characteristics of both high robustness of signal subspace processing and high estimation accuracy of noise subspace processing. Furthermore, the searching of spectrum peaks was performed, and the DOA estimation was realized. The feasibility and validity of the proposed algorithm are testified with the simulation experiments.

关 键 词： 估计 算法 分辨力 数据延时 相关函数 协方差矩阵 阵列流型 空间谱估计

领　　域： [电子电信] [电子电信]