基于空间平滑MUSIC算法的相干信号DOA估计

COHERENT SIGNAL DOA ESTIMATION BASED ON SPATIAL SMOOTHING MUSIC ALGORITHM

针对传统解相干算法在低信噪比条件下不能有效分辨角度接近的信号源DOA的问题,提出一种基于空间平滑技术的特征空间多重信号分类MUSIC(Multiple Signal Classification)算法。首先用改进的空间平滑算法对相干信号进行预处理,然后对其应用特征空间MUSIC算法进行精确的DOA估计。计算机仿真结果表明,该算法的改进能更加有效地估计相隔较近的小信噪比信号源的DOA,分辨能力较强。

Aiming at the problem that the traditional coherent algorithm cannot effectively distinguish the DOA from the signal source with low signal noise ratio （SNR） , a new method based on spatial smoothing technique and eigen space multiple signal classification （MUSIC） is presented. First of all, coherent signals were pre-processed by the improved spatial smoothing algorithm, and then eigen space MUSIC algorithm was applied to estimate the DOA. Simulation results show that the improvement of the algorithm can estimate the DOA of adjacent low SNR signal sources more effectively and its resolving ability is strong.