Batch Compressive Sensing for Passive Radar Range-Doppler Map Generation

Weike Feng, Jean Michel Friedt, Grigory Cherniak, Motoyuki Sato

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

By exploiting the sparsity of the scene containing only a few moving targets, a high-resolution and real-time range-Doppler map generation algorithm for passive bistatic radar is proposed. The proposed algorithm divides the long integration time into multiple short batches, from which a few batches are randomly selected on the basis of compressive sensing theory. A one-dimensional cross correlation is performed for each selected batch to obtain the range-compressed profile. Mean-value subtraction is then performed to suppress the direct path interference and stationary target reflections. Finally, an extended orthogonal matching pursuit algorithm is proposed for the effective estimation of target Doppler frequency. Practical application of this novel algorithm is examined by the detection of airplanes and ships via two synchronized general-purpose software-defined radio receivers. The results show that the proposed algorithm can achieve an improved resolution and a reduced sidelobe level compared to the conventional algorithms.

Original languageEnglish
Article number8639010
Pages (from-to)3090-3102
Number of pages13
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume55
Issue number6
DOIs
Publication statusPublished - 2019 Dec

Keywords

  • Batches algorithm
  • compressive sensing (CS)
  • passive bistatic radar (PBR)
  • range-Doppler map
  • software-defined radio

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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