A DOA Estimation Method Based on Low-Complexity Hybrid Analog and Digital Architecture Design

The sub-connected (SC) hybrid analog and digital (HAD) structure is attractive in large-scale arrays due to its lower complexity and cost. However, due to antenna grouping, it suffers from angular ambiguity and cannot directly obtain the spatial covariance matrix required by subspace-based methods,...

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Vydáno v:Proceedings (International Conference on Communication Technology. Online) s. 1348 - 1352
Hlavní autoři: Wang, Shuxin, Sun, Ji, Wu, Xiaohuan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 20.10.2023
Témata:
Antenna arrays
Covariance matrices
Direction-of-arrival estimation
Directive antennas
Estimation
hybrid analog and digital
large antenna array
nested array
Radio frequency
Simulation
ISSN:2576-7828
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Shrnutí:The sub-connected (SC) hybrid analog and digital (HAD) structure is attractive in large-scale arrays due to its lower complexity and cost. However, due to antenna grouping, it suffers from angular ambiguity and cannot directly obtain the spatial covariance matrix required by subspace-based methods, such as MUSIC/root-MUSIC. In this paper, we investigate a direction-of-arrival (DOA) estimation method based on the design of low-complexity HAD architectures. We propose a two-layer sub-connected (TL-SC) HAD structure that can directly obtain the spatial covariance matrix of the received signal, avoiding angular ambiguity by exploiting the structural properties of its virtual array, i.e., the nested array structure. Simulation results show that our proposed method can achieve its Cramer-Rao lower bound (CRLB) and has higher estimation accuracy for the same RF chain number.
ISSN:2576-7828
DOI:10.1109/ICCT59356.2023.10419535