Triple Two-Level Nested Array With Improved Degrees of Freedom

Abstract

A triple two-level nested array (TTNA) configuration is proposed for direction-of-arrival (DOA) estimation of multiple time-space signals. The proposed TTNA consists of multiple two-level nested arrays, and the distance between two adjacent nested arrays is also given according to a nested array. As traditional nested arrays, it can generate a hole-free different co-array. Compared with some preexisting nested arrays, the proposed nested array can offer more degrees of freedom (DOFs). The closed-form expression of DOFs and the array configuration are given. Moreover, the detailed process for the construction of extended covariance matrix also is obtained. The simulation results show that the proposed method offers improved performance in the precision of DOA estimation due to the increase of virtual sensors.

Fast Direction-Finding Algorithm by Partial Spatial Smoothing in Sparse Mimo Radar

“…We can also refer [17][18][19][20][21] to find the detailed procedure of the traditional SS algorithm. According to Eqs.…”

“…But compared with co-prime array, nested array [16][17][18] can provide higher DOF. In [17], using the construction features of nested array [16], a nested MIMO radar [19] with hole-free difference and sum co-array (DSCA) was proposed and had higher DOF than co-prime MIMO radars [12,13].…”

A Novel Nested Array Design for Direction of Arrival Estimation of Noncircular Signals

“…Sparse arrays have attracted considerable attention from researchers in recent years due to their large inter-element spacing and underdetermined direction of arrival (DOA) estimation ability [1][2][3][4][5]. Typical sparse arrays, such as minimum redundancy arrays (MRAs) [6], nested arrays (NAs) [1], and coprime arrays (CPAs) [7], can resolve O(N 2 ) sources with O(N ) physical sensors.…”