Novel two-dimensional DOA estimation with L-shaped array

Zhang Xiaofei,Li Jianfeng,Xu Lingyun

doi:10.1186/1687-6180-2011-50

Zhang Xiaofei, Li Jianfeng + Show 1 more

Open Access

https://doi.org/10.1186/1687-6180-2011-50

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Abstract

Two-dimensional (2D) direction-of-arrival (DOA) estimation has played an important role in array signal processing. In this article, we address a problem of bind 2D-DOA estimation with L-shaped array. This article links the 2D-DOA estimation problem to the trilinear model. To exploit this link, we derive a trilinear decomposition-based 2D-DOA estimation algorithm in L-shaped array. Without spectral peak searching and pairing, the proposed algorithm employs well. Moreover, our algorithm has much better 2D-DOA estimation performance than the estimation of signal parameters via rotational invariance technique algorithms and propagator method. Simulation results illustrate validity of the algorithm.

Highlights

Antenna arrays have been used in many fields, such as radar, sonar, communications, seismic data processing, and so on
The direction-of-arrival (DOA) estimation of signals impinging on an array of sensors is a fundamental problem in array processing, and many DOA estimation methods have been proposed for its solution [1,2,3,4,5,6,7,8,9,10]
Blind 2D DOA estimation we utilize the trilinear decomposition for blind 2D-DOA estimation in L-shaped array, where the received signal has been reconstructed with trilinear model

Summary

Introduction

Antenna arrays have been used in many fields, such as radar, sonar, communications, seismic data processing, and so on. Bro et al [15] proposed a 2D-DOA algorithm for uniform squares array using trilinear decomposition. Bro et al [15] proposed a 2D-DOA algorithm for uniform squares array, while this study is to estimate 2D-DOA for L-shaped array. The received signal of uniform squares array can be modeled directly with trilinear model, and that of [15] proposed joint azimuth-elevation estimation using trilinear decomposition in uniform squares array. To estimate 2D-DOA estimation in L-shaped array, and the received signal of L-shaped array cannot be modeled directly with trilinear model. 3. Blind 2D DOA estimation we utilize the trilinear decomposition for blind 2D-DOA estimation in L-shaped array, where the received signal has been reconstructed with trilinear model. We use trilinear decomposition for obtaining the direction matrices Ax1 and Ay1, and DOAs are estimated according to least square (LS) principle

Trilinear decomposition

Conclusion