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A Low-Complexity Three-Dimensional Parameter Estimation Algorithm for FMCW Radar

  • School of Information Science and Engineering, Harbin Institute of Technology Weihai
  • Shanxi University

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

Abstract

Frequency Modulated Continuous Wave (FMCW) radar has been widely used in the field of vehicle mounted millimeter wave radar to detect the parameters of targets. A low complexity three-dimensional (3D) parameter estimation algorithm for time-division multiplexing multiple-input multiple-output (TDM-MIMO) FMCW radar is proposed to detect the range, velocity, and azimuth angle of targets. The proposed algorithm utilized the data block selection and rank-reduced technique to avoid the high computational burden of the traditional subspace-based algorithm. Moreover, the proposed algorithm solves the problem of velocity ambiguity in conventional TDM-MIMO FMCW signal processing. The simulation results show that the accuracy and resolution of the algorithm are much higher than the conventional algorithms, such as 3D-FFT, and 3D-MUSIC.

Original languageEnglish
Title of host publication2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1222-1226
Number of pages5
ISBN (Electronic)9798350399059
DOIs
StatePublished - 2023
Externally publishedYes
Event6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023 - Qingdao, China
Duration: 21 Jul 202324 Jul 2023

Publication series

Name2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023

Conference

Conference6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023
Country/TerritoryChina
CityQingdao
Period21/07/2324/07/23

Keywords

  • 3D parameter estimation
  • FMCW
  • TDM-MIMO
  • low complexity

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