一种 L型阵列的相干分步降维D OA估计方法

摘要

According to the heavy computation complexity of two-dimensional DOA estimation for coherent signals,this paper proposed a fractional dimension reduction MUSIC algorithm MUSIC method based on the forward/backward spatial smoothing technique.Firstly this algorithm de-correlated the coherent signals through the forward/backward spatial smoothing technique, then one-dimensional spatial spectrum search was used to get a one-dimensional angle of incidence.Finally,the least square method obtained a two-dimensional angle of incidence and then obtained the DOA of coherent signals.Simulation results show that this method can be achieved on a two-dimensional DOA estimation of coherent signals and keeps a better DOA estimation performance.This algorithm also reduces the computational complexity.%针对相干信号二维波达方向（direction of arrival，DOA）估计运算复杂度高的问题，提出了一种基于前后向空间平滑的分步降维MUSIC算法。该算法通过前后向空间平滑技术去相干，通过一维空间谱搜索得到一维入射角，最后通过最小二乘法得到二维入射角，进而得到相干信号的DOA。仿真实验表明，该方法可以实现对相干信号的二维DOA估计，且具有较好的DOA估计性能，同时降低了运算复杂度。