A novel multi-band infrared mutation point target detection method based on generalized cumulative sum

Yuexin Tian, Kun Gao, Ying Liu, Yan Lu, Guoqiang Ni

Research output: Contribution to journalArticlepeer-review

Abstract

The detection for mutation point which suddenly appear and vanish has received much attention in IRST application. With the development of multi-wave band IRST system, a sequential infrared target trajectory detection algorithm based on generalized cumulative sum was proposed. The research extended the single band detection into multiple band detection, which improved the detection probability, greatly reduced the average detection delay and signal-to-noise ratio (SNR) under a certain false alarm rate. Results of simulation analysis show that the modified algorithm has excellent detection performance for infrared mutation point target. In case of a certain false alarm rate, the SNR threshold can be decreased to 60% and dual band detection delay can be reduced about a half comparing with the traditional detection method.

Original languageEnglish
Article number0526001
JournalHongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
Volume45
Issue number5
DOIs
Publication statusPublished - 25 May 2016

Keywords

  • Generalized cumulative sum
  • IRST
  • Information processing
  • Infrared target detection
  • Mean detection delay
  • Multi-band

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