Parallel Factor-Based Model for Two-Dimensional Direction Estimation

Nizar Tayem,Ahmed A Hussain,Khaqan Majeed

doi:10.1155/2017/1813497

Abstract

Two-dimensional (2D) Direction-of-Arrivals (DOA) estimation for elevation and azimuth angles assuming noncoherent, mixture of coherent and noncoherent, and coherent sources using extended three parallel uniform linear arrays (ULAs) is proposed. Most of the existing schemes have drawbacks in estimating 2D DOA for multiple narrowband incident sources as follows: use of large number of snapshots, estimation failure problem for elevation and azimuth angles in the range of typical mobile communication, and estimation of coherent sources. Moreover, the DOA estimation for multiple sources requires complex pair-matching methods. The algorithm proposed in this paper is based on first-order data matrix to overcome these problems. The main contributions of the proposed method are as follows: (1) it avoids estimation failure problem using a new antenna configuration and estimates elevation and azimuth angles for coherent sources; (2) it reduces the estimation complexity by constructing Toeplitz data matrices, which are based on a single or few snapshots; (3) it derives parallel factor (PARAFAC) model to avoid pair-matching problems between multiple sources. Simulation results demonstrate the effectiveness of the proposed algorithm.

Highlights

Antenna arrays have long been in use in the field of wireless communications in both civilian and military applications
We propose a novel 2D Direction of Arrival (DOA) estimation algorithm that employs a new three parallel uniform antenna arrays
The performance of the proposed method is evaluated using simulations

Summary

Introduction

Antenna arrays have long been in use in the field of wireless communications in both civilian and military applications. The oblique projection is used to estimate the elevation and azimuth angles by isolating the coherent signals from the noncoherent ones, thereby alleviating the effect of additive noise, while avoiding the computationally intensive EVD and parameter pairing problem Another recent work reported in [23] investigates the problem of tracking the 2D DOA of multiple moving targets by associating the estimated azimuth and elevation angles of different targets at two successive time instants. The main contributions of the proposed method are as follows: (1) to avoid estimation failure problem using a new antenna configuration and estimate elevation and azimuth angles for coherent sources; (2) to reduce the estimation complexity by constructing Toeplitz data matrices, which are based on a single or few snapshots; and (3) to derive parallel factor (PARAFAC) model to avoid pair-matching problems between multiple sources.

System Model and Proposed Algorithm

Simulation Results

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Conclusion