基于信号子空间的IPR改进算法

An Improved IPR Method Based on Signal Subspace

研究了到达角(DOA)估计问题中的改进多项式根(IPR)法。针对IPR算法在信号较少时,噪声特征向量构成的矩阵计算量较大的问题,改进算法从信号子空间出发求出构造多项式的系数,从而求得到达角。通过理论推导和计算机仿真实验证明了该方法的有效性,降低了运算的复杂度,并且具有比MUSIC算法更好的性能。

In this paper, we consider the problem of DOA estimation using the improved polynomial rooting （IPR） method When the IPR method is used in the cases that there are few sources with same frequency, the matrix composed of noise eigen vectors is processed complexly. So we construct the matrix for computing the coefficient of polynomial with signal subspace This method is effective in theory and computer simulation. It reduces the complexity of IPR method. Further more, its perfor mance is better than MUSIC method.