Efficient binary sequence set designs for MIMO PMCW radar

Yutao Chen, Yuanbo Cheng, Ronghao Lin*, Jian Li, Hing Cheung So

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

Multiple-input multiple-output (MIMO) phase-modulated continuous wave (PMCW) radar systems have major advantages for mutual-interference mitigation over their linear frequency-modulated continuous wave (LFMCW) counterparts. To attain a virtual array length of M×M̃ with M transmit and M̃ receive antennas, a probing sequence set with both low auto-correlation sidelobes and low cross-correlations is needed for MIMO PMCW radar. To reduce the hardware cost of sequence generation, binary probing sequence (BPS) sets are desirable. We present herein four efficient computational algorithms to generate BPS sets with desirable properties, and arbitrary sequence lengths and arbitrary number of sequences in the set are allowed. When initialized by random BPS sets, they can be used to obtain many different BPS sets with similar properties, i.e., with large diversity. Moreover, fast Fourier transform (FFT) are exploited, making the algorithms computationally efficient. They can be used to design long BPS sets that are hardly possible using existing methods in the literature. The convergence properties and the relationships among the proposed algorithms are also analyzed under a unified framework. Numerical examples are included to illustrate the effectiveness of our designs. © 2023 Elsevier B.V.
Original languageEnglish
Article number109204
JournalSignal Processing
Volume213
Online published1 Aug 2023
DOIs
Publication statusPublished - Dec 2023

Research Keywords

  • Binary probing sequence (BPS) sets
  • Correlation property
  • Fast Fourier transform (FFT)
  • Integrated sidelobe level (ISL)
  • Low correlation zone (LCZ)
  • Multiple-input multiple-output (MIMO) radar
  • Phase-modulated continuous wave (PMCW) radar
  • Waveform design

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