Low-Complexity Frequency Invariant Beamformer Design Based on SRV-Constrained Array Response Control

Zihao Teng, Huaguo Zhang, Jiancheng An, Lu Gan, Hongbin Li, Chau Yuen

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

1 Scopus citations

Abstract

This paper focuses on the wideband frequency invariant (FI) deterministic beamformer design problem for mitigating beam squint and presents a spatial response variation (SRV)-constrained array response control (ARC) synthesis approach. By regarding the SRV matrix as the covariance matrix of an extra virtual colored noise, we extend the ARC-based narrowband beampattern synthesis techniques to wide band FI scenarios. Furthermore, we introduce the FI maximum magnitude response (FI-MMR) based design principle, which maximizes the array magnitude response at the main-beam direction on the reference frequency. Based on this principle, we present an iterative FI beampattern synthesis algorithm under arbitrary array configurations. Simulation results show the effectiveness of the proposed algorithm in comparison with several popular FI beampattern synthesis techniques.

Original languageEnglish
Title of host publication2024 IEEE 99th Vehicular Technology Conference, VTC2024-Spring 2024 - Proceedings
ISBN (Electronic)9798350387414
DOIs
StatePublished - 2024
Event99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024 - Singapore, Singapore
Duration: 24 Jun 202427 Jun 2024

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
Country/TerritorySingapore
CitySingapore
Period24/06/2427/06/24

Keywords

  • array response control (ARC)
  • Frequency invariant (FI) beampattern
  • maximum magnitude response (MMR)
  • spatial response variation (SRV)

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