Improving spatial spectrum analysis precision by least-square fitting method
Tiesheng Kong, Diannong Liang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
This paper addresses the problem of direction-upon-arrival (DOA) estimation. It is well known that the mean-squared errors (MSE) of the DOA are proportional to reciprocal of the squared distance d between array elements, and asymptotically approach to the Cramer-Rao bound (CRD) as d increases. However, this may cause spatial frequency alinning. In this paper, using non-uniform array, we regard this problem as data least square fitting one, and estimate DOA by a proper direction vector fitting. Two theorems are proved to ensure the method not to cause ambiguity. The advantages of proposed method are discussed.