Bearings-only target motion analysis of a highly manoeuvring target

In this study, the authors tackle the bearings-only target motion analysis problem, which is to estimate the position and velocity of a target using bearing measurements. They consider a target which is highly manoeuvrable. This study introduces the modified range-parameterised extended Kalman filter (MRPEKF), which consists of a number of independent EKFs, each with a different initial range estimate. The MRPEKF uses the filter re-initialisation strategy to track a highly manoeuvring target. They further introduce the method to improve the efficiency of the MRPEKF. They verify the effectiveness of their MRPEKF by comparing it with the IMM KF using simulations.

[1]  T. R. Kronhamn,et al.  Bearings-only target motion analysis based on a multihypothesis Kalman filter and adaptive ownship motion control , 1998 .

[2]  N. Peach,et al.  Bearings-only tracking using a set of range-parameterised extended Kalman filters , 1995 .

[3]  Xiao Juan Zhang,et al.  Maneuvering Target Tracking with ESM Sensor , 2014, SOCO 2014.

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

[5]  Kazufumi Ito,et al.  Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..

[6]  Xiaoguang Fan,et al.  AFAKF for manoeuvring target tracking based on current statistical model , 2016 .

[7]  Fredrik Gustafsson,et al.  Recursive Bayesian estimation: bearings-only applications , 2005 .

[8]  Branko Ristic,et al.  Tracking a manoeuvring target using angle-only measurements: algorithms and performance , 2003, Signal Process..

[9]  Suzhi Bi,et al.  Maneuvering Target Doppler-Bearing Tracking with Signal Time Delay Using Interacting Multiple Model Algorithms , 2008 .

[10]  K. C. Ho,et al.  An asymptotically unbiased estimator for bearings-only and Doppler-bearing target motion analysis , 2006, IEEE Transactions on Signal Processing.

[11]  J.M.C. Clark,et al.  The shifted Rayleigh filter for bearings only tracking , 2005, 2005 7th International Conference on Information Fusion.

[12]  Simo Särkkä,et al.  Unscented Rauch-Tung-Striebel Smoother , 2008, IEEE Trans. Autom. Control..

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

[14]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[15]  Zhiguo Shi,et al.  FUZZY-CONTROL-BASED PARTICLE FILTER FOR MANEUVERING TARGET TRACKING , 2011 .

[16]  R. Singer.  Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[17]  J. Cadre,et al.  Bearings-only tracking for maneuvering sources , 1998 .

[18]  Xie Weixin,et al.  Bearings-only maneuvering target tracking based on truncated quadrature Kalman filtering , 2015 .

[19]  Tao Li,et al.  Tracking Maneuvering Target with Angle-Only Measurements Using IMM Algorithm Based on CKF , 2010, 2010 International Conference on Communications and Mobile Computing.