{"ID":2875109,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.03488","arxiv_id":"2509.03488","title":"Efficient DoA Estimation with Hybrid Linear and Rectangular Arrays Using Compact DFT Codebook","abstract":"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.","short_abstract":"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 But...","url_abs":"https://arxiv.org/abs/2509.03488","url_pdf":"https://arxiv.org/pdf/2509.03488v1","authors":"[\"Miguel Rivas-Costa\",\"Carlos Mosquera\"]","published":"2025-09-03T17:14:04Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}