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Hybrid Convolutional Beamspace for DOA Estimation of Millimeter Wave Sources

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Sensor arrays designed for millimeter waves (mmWaves) have gained popularity recently for their potential to offer more bandwidth. To reduce hardware cost, mmWave processing is divided into analog and digital domains. The analog combiner serves as a beamspace processor, reducing the number of required RF chains. Convolutional beamspace (CBS) is a recently proposed beamspace method. It achieves lower computational complexity, higher DOA resolution, and smaller MSE for correlated sources. In this paper, hybrid analog and digital CBS is proposed for DOA estimation of mmWave sources using a receiver array. Constant-modulus constraints imposed on the analog combiner are tackled by the fact that any complex vector is a linear combination of two vectors with unit-modulus entries. The required number of RF chains equals the dimension of the CBS output after decimation. Besides traditional CBS with uniform decimation, a new form with nonuniform decimation is presented. The retained samples correspond to sensor locations of a virtual dilated sparse array. The coarray method then enables the estimation of O(R2) sources, where R is the number of RF chains. The dilation results in larger coarray aperture and smaller estimation errors. Numerical examples are given to show the effectiveness of hybrid CBS.

Original languageEnglish
Title of host publication56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages86-90
Number of pages5
ISBN (Electronic)9781665459068
DOIs
StatePublished - 2022
Event56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 - Virtual, Online, United States
Duration: 31 Oct 20222 Nov 2022

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2022-October
ISSN (Print)1058-6393

Conference

Conference56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
Country/TerritoryUnited States
CityVirtual, Online
Period31/10/222/11/22

Keywords

  • Convolutional beamspace
  • DOA estimation
  • hybrid combiner
  • millimeter wave
  • sparse arrays

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