一种新的基于四阶累积量的DOA估计算法

A new DOA estimation algorithm based on fourth-order cumulant

提出了一种新的用于均匀线阵的四阶累积量DOA估计算法.针对传统MUSIC-like算法中四阶累积量矩阵存在大量冗余信息的情况,本文算法提出了一种新的四阶累积量矩阵构造方法.用该方法构造的四阶累积量矩阵在保证阵列扩展性能的同时,去掉了MUSIC-like算法中四阶累积量矩阵的冗余信息,降低了矩阵的阶数.与MUSIC-like算法相比,本文算法的运算复杂度显著降低,但仍保持了同等的估计性能.实验仿真表明了提出方法的有效性.

A new algorithm based on fourth-order cumulant matrix is presented for uniform linear array. There are massive redundant data in the fourth-order cumulant matrix for MUSIC-like algorithm. So a new method of constructing the fourth-order cumulant matrix is created in the proposed algorithm. In the case of keeping the array extension ability, the fourth-order cumulant matrix constructed using the new method eliminates massive redundant data of the fourth-order cumulant matrix in MUSIC-like algorithm and reduces the order of the matrix. So compared with MUSIC-like algorithm, the proposed algorithm not only has the same performance of DOA estimation, but also brings the benefits of significant reduction of computational complexity. Computer simulations are carried out to illustrate the validity of the new method.