A UKF algorithm with two arrays in bearings-only tracking

Xiaojing Su*, Jin Yan, Shefeng Yan

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

One condition of the target's maneuver is coordinated type turning motion, with the characteristic that the size of the angular velocity and the velocity stay the same, while the direction of the velocity varies from time to time. It is a special kind of maneuver. This turning motion of target is actually a part of the uniform circular motion. In response to this situation, we assume that the motion model of the target is the uniform circular motion. In this case, to ensure the observability in passive target tracking, we propose bearings-only unscented kalman filtering (UKF) algorithm with two arrays to locate and track the target. In this paper, we propose UKF algorithm with two arrays to do passive tracking and compare with extended kalman filtering (EKF) algorithm. Simulation results show that bearings-only UKF algorithm with two arrays has faster convergence and better tracking accuracy than EKF algorithm.

Original languageEnglish
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages2709-2712
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Publication series

NameProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Volume5

Conference

Conference4th International Congress on Image and Signal Processing, CISP 2011
Country/TerritoryChina
CityShanghai
Period15/10/1117/10/11

Keywords

  • EKF
  • UKF
  • bearings-only
  • two arrays

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