A modified extended Kalman filter for bearings-only tracking

In this paper a Modified Extended Kalman Filter (MEKF) for the problem of Bearings-Only Tracking (BOT) is proposed. The suggested filter takes into account the amount of nonlinearity introduced through bearing measurements and adjusts the estimated range. In addition, it adds sufficient stabilizing noise to the error covariance matrix to make the filter consistent. Simulation results demonstrate an obvious superiority in terms of precision over the standard Extended Kalman Filter (EKF) tracking scenarios.

[1]  Yi Xu,et al.  Single observer bearings-only tracking with the unscented Kalman filter , 2004, 2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914).

[2]  Ondrej Straka,et al.  Performance evaluation of local state estimation methods in bearings-only tracking problems , 2011, 14th International Conference on Information Fusion.

[3]  Danilo P. Mandic,et al.  Kalman filtering for widely linear complex and quaternion valued bearings only tracking , 2012, IET Signal Process..

[4]  Yiu-Tong Chan,et al.  Bearings-only and Doppler-bearing tracking using instrumental variables , 1992 .

[5]  Chang Hong Yang LS and TLS in bearing-only target tracking , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

[6]  Richard B. Vinter,et al.  The Shifted Rayleigh Mixture Filter for Bearings-Only Tracking of Maneuvering Targets , 2007, IEEE Transactions on Signal Processing.

[7]  Walter D. Grossman,et al.  Bearings-only tracking: a hybrid coordinate system approach , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[8]  V. Aidala Kalman Filter Behavior in Bearings-Only Tracking Applications , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[9]  K. Gong,et al.  Fundamental properties and performance of conventional bearings-only target motion analysis , 1984 .

[10]  R. Vinter,et al.  Shifted Rayleigh filter: a new algorithm for bearings-only tracking , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[11]  S. K. Rao,et al.  Modified gain extended Kalman filter with application to bearings-only passive manoeuvring target tracking , 2005 .

[12]  Olivier Tr,et al.  Bearings-Only Tracking for Maneuvering Sources , 1998 .

[13]  Richard B. Vinter,et al.  Performance of the shifted Rayleigh filter in single-sensor bearings-only tracking , 2007, 2007 10th International Conference on Information Fusion.

[14]  S.K. Rao,et al.  Unscented Kalman Filter With Application To Bearings-Only Passive Manoeuvring Target Tracking , 2008, 2008 International Conference on Signal Processing, Communications and Networking.

[15]  Denis Pillon,et al.  Bearings-Only Maneuvering Target Motion Analysis from a Nonmaneuvering Platform , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Zhi-Quan Wang,et al.  An Intelligent Algorithm for Bearings-Only Maneuvering Target Tracking , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[17]  J.M.C. Clark,et al.  The Asymptotic Optimality of a Bearings-only Tracking Filter with a High Rate of Noisy Measurement , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[18]  R. Wishner,et al.  Utilization of Modified Polar Coordinates for Bearings-Only Tracking , 2001 .

[19]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.