Adaptive algorithm for adjusting observation noises based on double-Kalman filter

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12 Scopus citations

Abstract

In the actual course of target tracking, the observation noise is changing at any time because of the impact of the distance between the target and the radar and other reasons. However, the observation noise covariance is changeless in the normal Kalman filter, so the tracking result is not perfect inevitably. In order to solve this problem, a novel algorithm is presented to adjust the observation noise covariance adaptively based on the two results of Kalman filter with different sample times. The simulation experiments show that the proposed algorithm improves the result of tracking.

Original languageEnglish
Pages (from-to)232-234
Number of pages3
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume32
Issue number2
StatePublished - Feb 2010

Keywords

  • Adaptive tracking algorithm
  • Kalman filter
  • Observation noise
  • Target tracking

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