Quasi-vector-cross-product based direction finding algorithm with a Spatially Stretched tripole

Abstract

A closed-form solution for direction of arrival (DOA) estimation is presented for the spatially stretched tripole (SST) by adopting a quasi-vector-cross-product (QVCP) based scheme to deal with the mutual coupling problem. After deriving the sufficient condition for the proposed method, we design and study four specific types of SSTs in particular. Simulation results show that the proposed scheme significantly outperforms the traditional tripole-based one in the presence of mutual coupling, and the Cramér-Rao bound (CRB) curves for the ideal case have also verified the superiority of our proposed method.

Joint DOA and Polarization Estimation With Crossed-Dipole and Tripole Sensor Arrays

“…In [1], the EM vector sensor was first used to collect both electric and magnetic information of the impinging signals, where all six electromagnetic components are measured to identify the signals. So far most of the studies are focused on the linear structure employing crossed-dipoles [2]- [4] and tripole sensors [5]- [8], where the general two-dimensional (2-D) DOA model is simplified into one-dimensional (1-D) by assuming that all the signals arrive from the same known azimuth angle φ. In [22], [23], MUSIC algorithm was proposed to deal with the joint DOA (θ) and polarisation (ρ, φ) estimation problem by considering DOA (1-D) and polarisation (2-D) together, where a three (3-D) peak search is required with a very high computational complexity.…”

Direction Finding for a Mixture of Single-Transmission and Dual-Transmission Signals

“…In its early time, most research on DOA estimation was based on omnidirectional antennas, ignoring the polarization information of impinging signals. To consider the polarization information, electromagnetic (EM) vector sensor arrays were proposed to jointly estimate the DOA and polarization information [6]- [12]. The traditional algorithms can be extended to solve the joint DOA and polarization estimation problem [13]- [16].…”

Joint 4-D DOA and polarization estimation based on linear tripole arrays

“…The joint estimation of direction of arrival (DOA) and polarization for signals based on electromagnetic (EM) vector sensor arrays has been widely studied in recent years [1]- [5]. In [1], the EM vector sensor was first used to collect both electric and magnetic information of the impinging signals, where all six electromagnetic components are measured to identify the signals.…”