信源数目过估计和欠估计下MUSIC算法分析

分析了信源数目过估计与欠估计情况下的MUSIC算法性能，仿真实验发现信源数目过估计下MUSIC谱出现伪峰，并且随着过估计程度的加重伪峰的数目增多，DOA估计的均方根误差增大；而欠估计情况下某些谱峰消失，并且随着欠估计程度的加重谱峰数减少，均方根误差增大。提出一种改进算法，在信源数目有误差的情况下，该算法的性能好于MUSIC算法的性能。

Performance Analysis of the MUSIC Algorithm Under the Over-or Under-Estimation of Source Number Condition

The performance of MUSIC algorithm with source number over or under estimated is analyzed in this paper. Simulation results show that some unexpected peaks appear in MUSIC spectrum when the source number is over estimated and some peaks of MUSIC spectrum disappear when the source number is under estimated. Furthermore, with the source number error increasing, the number of unexpected or disappeared peaks and the root mean square error (RMSE) of DOA estimation increase. A new algorithm is suggested in this paper. Under error source number existing condition, the performance of the new algorithm is much better than that of MUSIC algorithm.