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

TL;DR

This paper introduces a novel DOA estimation method for a mixed signal model combining single and dual transmission signals, leveraging polarization domain degrees of freedom, and compares its performance with the CRB through simulations.

Contribution

First to study DOA estimation for a mixed signal transmission model combining SST and DST signals, proposing a two-step estimation method.

Findings

Method outperforms traditional approaches in simulations

Achieves near CRB performance

Effectively separates different signal types

Abstract

Currently, most of existing research in direction of arrival (DOA) estimation is focused on single signal transmission (SST) based signal. However, to make full use of the degree of freedom provided by the system in the polarisation domain, the dual signal transmission (DST) model has been adopted more and more widely in wireless communications. In this work, a DOA estimation method for a mixture of SST and DST signals (referred to as the mixed signal transmission (MST) model) is proposed. To our best knowledge, this is the first time to study the DOA estimation problem for such an MST model. There are two steps in the proposed method, which deals with the two kinds of signals separately. The performance of the proposed method is compared with the Cram\'{e}r-Rao Bound (CRB) based on computer simulations.