Algorithm detecting the laser weak target with dynamic programming

Qingwei Ping*, Guifen Xia

*Corresponding author for this work

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

Abstract

To solve the laser weak echo detection under the clutter background, a dynamic programming (DP) technique has been developed for the detection of weak targets. The primary advantages of DP are its sensitivity to weak targets along with its robustness to laser echo glitter. DP technology turn searching track of the target into the subsection optimization of the target. First, DP algorithm finds all track subsection of target. Second, these track subsections are synthesized into the potential track of target. Third, the track of the same target is combined. Then the detection outcome is found. Theory analysis and the simulated results indicate a sensitivity improvement of detection performance over conventional detection algorithm. 2009 SPIE.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2009
Subtitle of host publicationLaser Sensing and Imaging
DOIs
Publication statusPublished - 2009
EventInternational Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging - Beijing, China
Duration: 17 Jun 200919 Jun 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7382
ISSN (Print)0277-786X

Conference

ConferenceInternational Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Country/TerritoryChina
CityBeijing
Period17/06/0919/06/09

Keywords

  • Dynamic programming
  • Energy accumulate
  • Laser echo
  • Signal-to-Noise

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Ping, Q., & Xia, G. (2009). Algorithm detecting the laser weak target with dynamic programming. In International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging Article 73823D (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7382). https://doi.org/10.1117/12.830928