Slow-Time MIMO Radar Clutter Mitigation Based on Robust Pulse-to-Pulse Coding

Feng Xu, Junqi Xue, Xiaopeng Yang, Fawei Yang, Zhanze Wang

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

Abstract

Slow-time MIMO radar is investigated to deal with some cost sensitive applications like UAVs detection to avoid the use of arbitrary waveform generators and digital receivers. But this method suffers from the deterioration of Signal to Noise Ratio (SNR) caused by superposition of clutter. To solve this problem, a robust pulse-to-pulse coding method is proposed to mitigate clutter as well as suppress the sidelobe level in Doppler domain. In our proposed method, the problem of optimizing weighting vector is transformed into a typical MVDR problem and the design of new weighting vector is obtained by the combination of MVDR solution and a sequence of weight coefficients which are calculated by Fourier inversion. This proposed method can mitigate the clutter adaptively while the sidelobe is suppressed. Both simulation and experiments results validate the reliability and effectiveness of this method.

Original languageEnglish
Title of host publication2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129129
DOIs
Publication statusPublished - Nov 2019
Event6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 - Xiamen, China
Duration: 26 Nov 201929 Nov 2019

Publication series

Name2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

Conference

Conference6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Country/TerritoryChina
CityXiamen
Period26/11/1929/11/19

Keywords

  • clutter mitigation
  • pulse-to-pulse coding
  • slow-time MIMO
  • waveform diversity

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