Saved in:
Bibliographic Details
Main Authors: Rivas-Costa, Miguel, Mosquera, Carlos
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.03488
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915477938241536
author Rivas-Costa, Miguel
Mosquera, Carlos
author_facet Rivas-Costa, Miguel
Mosquera, Carlos
contents Hybrid Analog and Digital (HAD) architectures provide a cost-effective alternative for large-scale antenna arrays, but accurate Direction-of-Arrival (DoA) estimation remains challenging due to limited digital dimensionality and constrained beamforming design. In this work, we propose a HAD architecture that employs Butler matrices to synthesize DFT beams over a uniform linear array. By exploiting the Cauchy-like displacement structure of the beamformed signal, we introduce a second-order statistics estimation algorithm that achieves near-optimal accuracy, approaching the Cramér-Rao Lower Bound (CRLB) and outperforming state-of-the-art methods in simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2509_03488
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Efficient DoA Estimation with Hybrid Linear and Rectangular Arrays Using Compact DFT Codebook
Rivas-Costa, Miguel
Mosquera, Carlos
Signal Processing
Hybrid Analog and Digital (HAD) architectures provide a cost-effective alternative for large-scale antenna arrays, but accurate Direction-of-Arrival (DoA) estimation remains challenging due to limited digital dimensionality and constrained beamforming design. In this work, we propose a HAD architecture that employs Butler matrices to synthesize DFT beams over a uniform linear array. By exploiting the Cauchy-like displacement structure of the beamformed signal, we introduce a second-order statistics estimation algorithm that achieves near-optimal accuracy, approaching the Cramér-Rao Lower Bound (CRLB) and outperforming state-of-the-art methods in simulation.
title Efficient DoA Estimation with Hybrid Linear and Rectangular Arrays Using Compact DFT Codebook
topic Signal Processing
url https://arxiv.org/abs/2509.03488