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Optimizing CFAR-based SAR target detection algorithm for DSP platform

  • Harbin Institute of Technology

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

Abstract

In this paper, the CFAR detection algorithm is improved, and proposed an improved two parameter CFAR detection algorithm. The improved two parameter CFAR detector delivered in this paper only uses a target window and a background window, By using special methods to remove the leaked ship pixels in the background window and estimate the remaining pixels in the background window which are sea clutter to get the local window's clutter gray mean and variance. The moving step is the same as the length of the target window. Compared with two parameter CFAR detector, the structure is simplified and the detection result's false alarms is less, targets too close can also be detected, furthermore, the computing efficiency is improved. The simulation results prove the algorithm's effectiveness. And the practicability of the algorithm is verified by DSP.

Original languageEnglish
Title of host publicationProceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
EditorsJunbao Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages492-495
Number of pages4
ISBN (Electronic)9781509011957
DOIs
StatePublished - 5 Dec 2016
Event6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016 - Harbin, Heilongjiang, China
Duration: 21 Jul 201623 Jul 2016

Publication series

NameProceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016

Conference

Conference6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
Country/TerritoryChina
CityHarbin, Heilongjiang
Period21/07/1623/07/16

Keywords

  • Constant false alarm rate
  • DSP
  • SAR image
  • Synthetic aperture radar
  • Target detection

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