Constrained tensor decomposition for 2D DOA estimation in transmit beamspace MIMO radar with subarrays

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Abstract

In this paper, a constrained tensor decomposition method that enables two dimensional (2D) direction of arrival (DOA) estimation for transmit beamspace (TB) Multiple-Input Multiple-Output (MIMO) radar with subarrays is proposed. Specifically, a higher-order tensor model is designed to collect the received signal for TB MIMO radar with multiple subarrays. By exploiting the inner structure of the factor matrix, the constrained tensor decomposition is conducted, and subsequently the target DOA is estimated. In addition, the angular information can also be computed by solving the minimization problem that originates from the second factor matrix to improve the robustness of the 2D DOA estimation. Simulation results validate the proposed approach.

Original languageEnglish
Title of host publicationICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages4380-4384
Number of pages5
Volume2021-June
ISBN (Electronic)978-1-7281-7605-5
DOIs
Publication statusPublished - 2021
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Acoustics, Speech, and Signal Processing - Virtua, Online, Toronto, Canada
Duration: 6 Jun 202111 Jun 2021

Publication series

NameIEEE International Conference on Acoustics, Speech and Signal Processing
ISSN (Print)1520-6149
ISSN (Electronic)2379-190X

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP
Country/TerritoryCanada
CityToronto
Period06/06/202111/06/2021

Keywords

  • Constrained tensor decomposition
  • Direction of arrival estimation
  • MIMO radar with subarrays

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