Window Function Design for Non-uniform MIMO Arrays

Mingsai Huan, Baoxi Guo, Yu Tu, Junli Liang, Yugang Ma, Yonghong Zeng

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

Abstract

Antenna position errors caused by manufacturing accuracy limits lead to a great difference between the real and ideal models of antenna arrays in extremely high frequency (EHF) band MIMO radar with tiny physical elements and spacings. As the real array is a non-uniform array, the conventional window function fails when applied to non-uniform sampling data, which causes angular ambiguities and seriously degrades the performance of DOA estimation. Based on an advanced analysis of spectral distortion in non-uniform sampling, this paper introduces a method to design a specialized window function for non-uniform MIMO arrays, aiming to minimize the equivalent noise bandwidth (ENBW) while sufficiently suppressing the side-lobe-to-peak ratio of the window function's spectrum. The simulation results show the effectiveness of the optimized window function, which reduces angular ambiguities and thereby improves the performance of DOA estimation for non-uniform MIMO arrays.

Original languageEnglish
Title of host publication2024 IEEE 99th Vehicular Technology Conference, VTC2024-Spring 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
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

  • DOA estimation
  • MIMO Radar
  • Non-uniform Array
  • Non-uniform Sampling
  • Window Function

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