Axis rotation MTD algorithm for weak target detection

Xuan Rao, Haihong Tao, Jia Su, Xiaolu Guo, Jinze Zhang

Research output: Contribution to journalArticlepeer-review

116 Scopus citations

Abstract

Weak targets range migration often happens for long time integration in radar detection. To compensate for linear range migration and detect weak targets effectively, a novel coherent integration detection algorithm, axis rotation moving target detection (AR-MTD), is proposed. The AR-MTD eliminates the linear range migration by rotating two-dimensional echoes data plane, and realizes coherent integration via moving target detection (MTD). As the targets resident time in a single range cell increases, the integration gain is improved clearly. Numerical experiments are presented to verify the reduction in the computational complexity of AR-MTD by selecting the velocity variation regions. Also, it is shown that the detection probability of AR-MTD is improved by nearly 20% when input signal-to-noise ratio (SNR) is -40 dB.

Original languageEnglish
Pages (from-to)81-86
Number of pages6
JournalDigital Signal Processing: A Review Journal
Volume26
Issue number1
DOIs
StatePublished - Mar 2014
Externally publishedYes

Keywords

  • Axis rotation
  • Coherent integration
  • MTD
  • Radar detection
  • Weak target

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