Uniform planar array broadband angle of arrival estimation from polynomial steering matrix

Tools

Khattak, Faizan A. and Asim, Fazal-E- and Weiss, Stephan and de Almeida, André L. F.; (2025) Uniform planar array broadband angle of arrival estimation from polynomial steering matrix. In: 2025 IEEE Statistical Signal Processing Workshop (SSP). IEEE/SP Workshop on Statistical Signal Processing (SSP) . IEEE, GBR, pp. 266-270. ISBN 9798331518011 (https://doi.org/10.1109/SSP64130.2025.11073258)

[thumbnail of Khattak-etal-IEEE-SSP-2025-Uniform-planar-array-broadband-angle-of-arrival-estimation]
Preview
 Text. Filename: Khattak-etal-IEEE-SSP-2025-Uniform-planar-array-broadband-angle-of-arrival-estimation.pdf
Accepted Author Manuscript
License: Creative Commons Attribution 4.0 logo
Download (828kB)| Preview

Abstract

In this paper, we propose a scalable broadband angle-of-arrival (AoA) estimation approach based on an estimated uniform planar array (UPA) polynomial matrix. The proposed method employs least-squares (LS) Khatri-Rao factorization in discrete Fourier transform (DFT) frequency bins to compute samples of the space-time covariance matrix in both azimuth and elevation directions. This approach eliminates the need for computing a polynomial singular value decomposition (PSVD), thereby enhancing scalability with respect to the number of sources and array elements. The proposed method’s performance is showcased in a simulation where a polynomial steering matrix for three sources is deliberately perturbed with varying degrees of estimation error to simulate different signal to noise ratio (SNR) scenarios. With azimuth and elevation angles determined independently, these are paired using an economical angle pairing strategy specifically designed for broadband scenarios.

ORCID iDs

Khattak, Faizan A., Asim, Fazal-E-, Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206 and de Almeida, André L. F.;
CORE (COnnecting REpositories)