A novel strong tracking cubature Kalman filter and its application in maneuvering target tracking

An ZHANG, Shuida BAO, Fei GAO, Wenhao BI

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

The fading factor exerts a significant role in the strong tracking idea. However, traditional fading factor introduction method hinders the accuracy and robustness advantages of current strong-tracking-based nonlinear filtering algorithms such as Cubature Kalman Filter (CKF) since traditional fading factor introduction method only considers the first-order Taylor expansion. To this end, a new fading factor idea is suggested and introduced into the strong tracking CKF method. The new fading factor introduction method expanded the number of fading factors from one to two with reselected introduction positions. The relationship between the two fading factors as well as the general calculation method can be derived based on Taylor expansion. Obvious superiority of the newly suggested fading factor introduction method is demonstrated according to different nonlinearity of the measurement function. Equivalent calculation method can also be established while applied to CKF. Theoretical analysis shows that the strong tracking CKF can extract the third-order term information from the residual and thus realize second-order accuracy. After optimizing the strong tracking algorithm process, a Fast Strong Tracking CKF (FSTCKF) is finally established. Two simulation examples show that the novel FSTCKF improves the robustness of traditional CKF while minimizing the algorithm time complexity under various conditions.

Original languageEnglish
Pages (from-to)2489-2502
Number of pages14
JournalChinese Journal of Aeronautics
Volume32
Issue number11
DOIs
StatePublished - Nov 2019

Keywords

  • Algorithm time complexity
  • Cubature Kalman filter
  • Nonlinear filtering
  • Robustness
  • Strong tracking filter

Fingerprint

Dive into the research topics of 'A novel strong tracking cubature Kalman filter and its application in maneuvering target tracking'. Together they form a unique fingerprint.

Cite this