基于多项式相位信号的改进MUSIC算法

Advanced MUSIC Algorithm Based on Polynomial Phase Signal

基于特征值分解的MUSIC算法是建立在窄带信号模型的基础之上的,因此当信号是宽带条件下,普通的MUSIC算法将会出现估计误差。多项式相位信号(PPS)是典型的宽带信号,文中针对多项式相位信号,对普通的MUSIC算法进行改进。通过利用非线性相位信号基底正确划分信号子空间与噪声子空间,从而实现对多项式相位信号的精确DOA估计。仿真结果验证了该算法的正确性和有效性。

The MUSIC algorithm based on eigenvalue decomposition （EVD） is used in the narrow-band signal processing, so under the condition of wide-band signal, general MUSIC algorithm will have estimation errors. Polynomial phase signal （PPS） is one kind of typical wide-band signals, and focused on the PPS, an improved MUSIC algorithm was proposed in this paper, which can get accurate DOA estimation of PPS by dividing the signal subspace and noise subspace correctly with non-liner phase signal basis vectors. The simulation results show the validity and effectiveness of the algorithm.