一种L型阵列的相干分步降维DOA估计方法

DOA algorithm of reduced dimension for L-shaped array with coherent signal source

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。

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.