FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach

Zongyu Zhang, Chengwei Zhou, Yujie Gu, Zhiguo Shi

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

10 Scopus citations

Abstract

In this paper, we present a fast Fourier transform (FFT)-based direction-of-arrival (DOA) estimation algorithm for coprime multiple-input multiple-output (MIMO) radar, where both the performance and the system overhead are well balanced. The coprime arrays are deployed in the framework of MIMO radar for sparse sensing, where an augmented virtual array can be generated from the difference coarray of sum coarray (DCSC) perspective. By implementing FFT on the second-order DCSC signals, it is shown that the DOAs can be retrieved from the resulting spatial response with an improved resolution. Moreover, neither the complex matrix operations nor the optimization problems are involved, indicating the efficient and hardware-friendly characteristic. Simulation results demonstrate the performance superiorities of the proposed algorithm.

Original languageEnglish
Title of host publication2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668115
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: 19 Nov 201821 Nov 2018

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
Country/TerritoryChina
CityShanghai
Period19/11/1821/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Coprime MIMO radar
  • DOA estimation
  • efficiency
  • fast Fourier transform
  • hardware-friendly

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