A novel spatially spread electromagnetic vector sensor for high-accuracy 2-D DOA estimation

Abstract

In this paper, a new spatially spread electromagnetic vector sensor (SS-EMVS) is proposed by a two-step design. In addition, a novel DOA estimator with coarse-fine estimate combination is presented for the proposed array. The first step aims to make the configurations of SS-EMVS satisfy the "vector cross-product" estimator, leading to a coarse estimation of three direction-cosines. The second step focuses on extending the two dimensional (2-D) array apertures of SS-EMVS, resulting in two fine but ambiguous estimations on the direction-cosines by extracting inter-sensor phase-delay. Combination the coarse and fine estimations, the high-accuracy 2-D DOA estimation can be obtained by using the coarse estimation to disambiguate the fine estimation. The three-dipoles and loops of the proposed configuration are located separately, which are found to reduce mutual coupling as compared with collocated EMVS. Moreover, the new configuration is able to extend 2-D array aperture to improve the accuracy of 2-D direction-finding. Numerical Simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

A Dimensionality Reduction Music Method for Joint Doa and Polarization Estimation in the PRDRF System Using SSSC-Evsa

“…In recent years, the DOA estimation issue with EVSA has been widely studied [8][9][10][11][12]. Wong and Zoltowski [8] proposed a closed-form ESPRIT based method for DOA and polarization estimation with arbitrarily spaced EVSA.…”

“…A novel self-initiating MUSIC-based direction-finding and polarization-estimation method in spatio-polarizational beamspace was developed in [10] using EVSA. Zheng [11] proposed a high-accuracy DOA estimator by exploiting the coarse-fine estimate combination. In [12], an ESPRIT-based method was proposed for joint DOA-range-polarization estimation for MIMO radar.…”

Joint DOA and Polarization Estimation with Two Parallel Sparse Dipole Arrays

“…In [12], a spatialinvariance version of ESPRIT has been used for some collocated EVMS's deployed in a sparse rectangular grid without incurring cyclic ambiguity in the final estimates of the sources' direction parameters. In [13,14], a spatial-invariance version of ESPRIT has been proposed for arbitrarily spaced EVMS's, whose locations are unknown. In [15], based on a spatially collocated EMVS, the author uses vector crossproduct to perform direction finding for multiple noncooperative wideband fast frequency-hop signals.…”

Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array

“…However, the spatially collocated six-component vector sensor arrays used in these methods are easily subjected to the mutual coupling effects across the collocated antennas (hereinafter referred to as mutual coupling effects). Besides, the inter-sensor spacings of these arrays are required within a half-wavelength in accordance with the spatial Nyquist sampling theorem, thus the DOA estimation accuracy of these methods is limited to some extent [ 19 , 20 , 21 ]. Moreover, these methods fail to provide the estimation of polarization parameters.…”