Robust 2-D DOA Estimation in a Polarization Sensitive Single User Environment

TL;DR

This paper introduces a novel antenna alignment scheme and a low-complexity DOA estimation algorithm that enable reliable direction finding in polarization-sensitive environments, overcoming limitations of conventional methods.

Contribution

It proposes an innovative antenna alignment strategy and a closed-form DOA estimation algorithm that operate effectively despite polarization effects, a challenge not addressed in prior literature.

Findings

The proposed scheme ensures no more than one antenna element suffers from low SNR due to polarization.

The developed algorithm reliably estimates DOA angles across various polarization conditions.

Performance analysis shows improved robustness over traditional MUSIC in polarization-sensitive scenarios.

Abstract

Apart from the conventional parameters (such as signal-to-noise ratio, array geometry and size, sample size), several other factors (e.g. alignment of the antenna elements, polarization parameters) influence the performance of direction of arrival (DOA) estimating algorithms. When all the antenna elements are identically aligned, the polarization parameters do not affect the steering vectors, which is the underlying assumption of all the conventional DOA algorithms. Unfortunately, in this case, for a given set of DOA angles there exists a range of polarization parameters which could result in a very low signal-to-noise ratio (SNR) across all the antenna elements in the array. To avoid this type of catastrophic event, different antenna element needs to be aligned differently. However, this fact will make almost all commonly used DOA estimation algorithms non-operable, since the steering vectors are contaminated by the polarization parameters. To the best of our knowledge, no work in the literature addresses this issue even for a single user environment. In this paper, that line of inquiry is pursued. We consider a circular array with the minimum number of antenna elements and propose an antenna alignment scheme to ensure that at any given point no more than one element will suffer from significantly low SNR due to the contribution of polarization. A low complexity algorithm that estimates the DOA angles in a closed-form manner is developed. We treat MUSIC as the baseline algorithm and demonstrate how it can reliably operate in all possible DOA and polarization environments. Finally, a thorough performance and complexity analysis are illustrated for the above two algorithms.