Two Dimensional DOA Estimation Based on Reduced-Dimension MUSIC
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摘要:
针对 MUSIC(多重信号分类法)估计方法实现二维 DOA(波达方向)估计的计算量大且遍历搜索耗时的问题，给出了一种基于降维处理的 MUSIC 算法。该算法无需进行二维谱峰值搜索。该算法利用二次优化方法将二维 DOA 估计分解为一维 DOA 估计，先通过一维 MUSIC 估计获得信号与 x 轴夹角，再利用最小二乘算法估计获得信号与 y 轴夹角。最后利用角度关系式得到信号的二维 DOA 估计值。该算法的复杂和搜索范围都大大降低，仿真表明，该算法具有较好的角度估计效果。
Abstract:
According to the problem of large computation and time-consuming of searching in two dimensions DOA estimation with MUSIC. This paper proposes a Reduced-Dimension MUSIC method which is not necessary to searching in two dimension spectrum. This method decomposes two dimensions DOA estimation to one dimension DOA estimation using two optimization methods. First the angel between the signal and X axis is estimated by one dimension MUSIC method. Then the angel between the signal and Y axis is estimated by LS method. The two dimension DOA estimation is obtained by angel relation at last. Simulation shows that the algorithm has good result in DOA estimation.
