基于MUSIC及其改进算法的DOA估计研究

Research on DOA Estimation based on MUSIC and Its Improved Algorithm

在DOA估计算法中,MUSIC算法因具有估计精度高等优点被广泛应用。但是,该算法在低信噪比、小快拍数和相干信号环境中估计性能较差。为解决该问题,提出一种基于子空间投影的改进型MUSIC算法,并将改进后的算法与空间平滑算法结合,可以用于相干信号的空间谱估计。仿真结果显示,改进后的算法可以在低信噪比、小快拍数条件下更好地估计波达方向。此外,将改进后的算法与空间平滑技术结合,还能有效提高对相干信号的估计性能。

Among DOA estimation algorithms,the MUSIC algorithm is widely used because of its high estimation accuracy.However,the estimation performance of this algorithm is poor in the environment of low SNR,small fast beat and coherent signal.To solve this problem,an improved MUSIC algorithm based on subspace projection is proposed,and the improved algorithm combined with spatial smoothing algorithm can be used for spatial spectrum estimation of coherent signals.The simulation results indicate that the improved algorithm can estimate the DOA better under the conditions of low SNR and small fast beats.In addition,combining the improved algorithm with spatial smoothing technique,the estimation performance of coherent signals can be improved effectively.