Optimum linear array geometry with minimum redundancy for 2q-th order cumulant-based array processing
Yuki Iizuka, Koichi Ichige · 2016
This paper presents an optimum linear array geometry for 2q-th order cumulant-based array processing for highresolution direction of arrival (DOA) estimation. The concept of Khatri-Rao (KR) product gives the difference co-array which makes larger virtual array aperture. The virtual array geometry depends on the original physical array configuration, and the minimum redundancy array (MRA) can be regarded as one of the optimum arrays in the case of q = 1. The 2q-level nested array is an efficient array in the case of q ≥ 2 but it does not become an optimum geometry with the maximum degree-of-freedom (DOF). In this paper, we try to extend the MRA to have more DOF in comparison with 2q-level nested array. We use the 2q-MUSIC algorithm for DOA estimation, and the accuracy of the proposed array becomes better than that of 2q level nested array. The performance of the proposed array is evaluated through computer simulation.