Genetic algorithm based multi-band SAR parameter optimization for MTD

Jinwei Wang, Feng Zhou, Mingliang Tao, Zijing Zhang, Mengdao Xing

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

Abstract

To overcome the shortcomings of the conventional moving target detection method in single-channel synthetic aperture radar (SAR), this paper proposes a novel method for moving target detection in single-channel multi-band SAR. In this method, according to the detectable velocity in different bands, the genetic algorithm is applied to optimize the choice of radar band parameters, e.g., wavelength and pulse repetition frequency. With the obtained optimal parameter combinations, the multi-band SAR system could achieve the highest velocity detection rate and the maximal bands utilization rate. Then, moving target detection, imaging and location could be accomplished with the Radon transform and Deramp method. Finally, simulation results are presented to demonstrate the effectiveness and feasibility of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages405-408
Number of pages4
ISBN (Electronic)9781467372961
DOIs
StatePublished - 23 Oct 2015
Externally publishedYes
Event5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 - Singapore, Singapore
Duration: 1 Sep 20154 Sep 2015

Publication series

NameProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015

Conference

Conference5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
Country/TerritorySingapore
CitySingapore
Period1/09/154/09/15

Keywords

  • Genetic Algorithm (GA)
  • Moving Target Detection
  • Synthetic Aperture Radar (SAR)

Fingerprint

Dive into the research topics of 'Genetic algorithm based multi-band SAR parameter optimization for MTD'. Together they form a unique fingerprint.

Cite this