A Weight-Based Multi-innovation Amendment Algorithm with Maneuvering Detection

LI Shou-qing

doi:10.3969/j.issn.1671-637x.2017.10.007

[1] GIBBS R G.New Kalman filter and smoother consistency tests［J］.Automatica,2013,49(10):3141-3144.

[2] LI X R,JILKOV V P.Survey of maneuvering target tracking.Part I:dynamic models［J］.IEEE Transactions on Aerospace and Electronic Systems,2003,39(4):1333-1364.

[3] MOHINDER S G,ANDREWS A P.Kalman filtering theory and practice using Matlab［M］.Hoboken：John Wiley & Sons,Inc.,2015.

[4] LI X R,JILKOV V P.Survey of maneuvering target tracking.Part V:multiple-model methods［J］.IEEE Transactions on Aerospace and Electronic Systems,2005,41(4):1-58.

[5] KALMAN R E.A new approach to linear filtering and prediction problems［J］.Journal of Basic Engineering,1960, 82(1):35-45.

[6] JULIER S J,UHLMANN J K,DURRANT W H F.A new approach for filtering nonlinear system［C］//Proceedings of the American Control Conference,Washington,1995:1628-1632.

[7] JULIER S J,UHLMANN J K,DURRANT W H F.A new method for the nonlinear transformation of means and covariances in filters and estimators［J］.IEEE Transactions on Automatic Control,2000,45(3):477-482.

[8] MERWE R V D,WAN E A.The square-root unscented Kalman filter for state and parameter-estimation［C］//International Conference on Acoustics,Speech,and Signal Processing,Salt Lake City,2001:3461-3464.

[9] ARASARATNAM I,HAYKIN S.Cubature Kalman filters［J］.IEEE Transactions on Automatic Control,2009,54(6):1254-1269.

[10] CHEN Z.Bayesian filtering:from Kalman filters to particle filters,and beyond ［DB/OL］.［2016-08-10］.http://soma.crl.mcmaster.ca/~zhechen/download/ieee_bayesian.ps.

[11] SIMON D.Optimal state estimation：Kalman,H∞ and nonlinear approaches［M］.Hoboken:John Wiley & Sons, Inc.,2006.