The optimization of window length in target maneuver detection

Xin Guo, Yang Li*

*Corresponding author for this work

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

Abstract

Decision-based approach of target tracking is an important technical field of maneuvering target tracking. In decision-based techniques, detection of maneuver onset is the key factor determining tracking performance. In order to minimize the detection delay of maneuver onset, the window length of maneuver detection was optimized under the Neyman-Pearson criterion. The optimum window length was obtained under various maneuver magnitude. Existence of the optimum window length was verified by computer simulations. The effects of processing interval, probability of false alarm of maneuver detection and maneuver magnitude to the optimum window length were given through computer simulation. In applications, one can consult the simulation results and use priori knowledge such as maneuver magnitude to choose sliding window length so as to get better tracking performance.

Original languageEnglish
Title of host publicationIET International Radar Conference 2009
Edition551 CP
DOIs
Publication statusPublished - 2009
EventIET International Radar Conference 2009 - Guilin, China
Duration: 20 Apr 200922 Apr 2009

Publication series

NameIET Conference Publications
Number551 CP

Conference

ConferenceIET International Radar Conference 2009
Country/TerritoryChina
CityGuilin
Period20/04/0922/04/09

Keywords

  • Maneuver detection
  • Target tracking
  • Window Length

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Guo, X., & Li, Y. (2009). The optimization of window length in target maneuver detection. In IET International Radar Conference 2009 (551 CP ed.). (IET Conference Publications; No. 551 CP). https://doi.org/10.1049/cp.2009.0396