The chirp-based analog to information conversion in the LFM pulse compression radar

Peng Fei Shi, Jian Min Guo, Pin Lv, Hao Huan

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

1 Citation (Scopus)

Abstract

The analog to information conversion (AIC) via random demodulation (RD) has suffered the performance loss in reducing the sampling rate of linear frequency modulation (LFM) pulse compression radar, especially for the local non-sparse targets in high resolution environment. In this paper, a novel AIC scheme via the determinate chirp mixing sequence is proposed to deal with this problem. The determinate chirp mixing sequence is given in two modes with fixed time duration and fixed bandwidth, respectively. Due to the spread spectrum as well as the local narrowband characteristics in undersampling condition, the determinate chirp mixing sequence guarantees the reconstruction performance of local non-sparse targets with low hardware consumption. Performance analysis and simulation results are provided to demonstrate the effectiveness of chirp mixing sequence in the restricted isometry property (RIP) and reconstruction performance of non-sparse targets for LFM pulse compression radar.

Original languageEnglish
Title of host publication2016 CIE International Conference on Radar, RADAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509048281
DOIs
Publication statusPublished - 4 Oct 2017
Event2016 CIE International Conference on Radar, RADAR 2016 - Guangzhou, China
Duration: 10 Oct 201613 Oct 2016

Publication series

Name2016 CIE International Conference on Radar, RADAR 2016

Conference

Conference2016 CIE International Conference on Radar, RADAR 2016
Country/TerritoryChina
CityGuangzhou
Period10/10/1613/10/16

Keywords

  • Analog to information conversion
  • Chirp mixing sequence
  • Compressive sensing
  • LFM pulse compression radar

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