Title: Array manifold matching algorithm based on fourth-order cumulant for 2D DOA estimation with two parallel nested arrays

Authors: Sheng Liu; Jing Zhao; Yu Zhang

Addresses: School of Data Science, Tongren University, Tongren, 554300, China ' School of Data Science, Tongren University, Tongren, 554300, China ' College of Computer and Information Science, Southwest University, Chongqing, 400715, China

Abstract: In this paper, a two-dimensional (2D) direction-of-arrival (DOA) estimation algorithm with two parallel nested arrays is developed. Firstly, a constructor method for fourth-order cumulant (FOC) matrices is given according to the distribution of sensors. Then a pre-existing DOA estimation technique is firstly used to estimate the elevation angles and an improved unilateral array manifold matching (AMM) algorithm is used to estimate the azimuth angles. Compared with some classical 2D DOA estimation algorithms, the proposed algorithm has much better estimation performance, particularly in the case of low SNR environment. Compared with some traditional FOC-based algorithms, the proposed algorithm has higher estimation precision. Simulation results can illustrate the validity of proposed algorithm.

Keywords: DOA estimation; fourth-order cumulant; array manifold matching; two parallel nested arrays.

DOI: 10.1504/IJCSE.2021.115091

International Journal of Computational Science and Engineering, 2021 Vol.24 No.2, pp.109 - 115

Received: 16 Jan 2020
Accepted: 31 Jul 2020

Published online: 12 May 2021 *

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