A new solution approach for the bearing only target tracking problem

Though the motivation for the initial researches on the topic had been military applications, target tracking problem has many practices in real life. In this paper, target tracking is used in the meaning of estimating the range, course and speed of the target moving on the constant route with constant speed. The inputs for the algorithm are the passive sonar measurements, that are bearings (line of sight angles), observed with known elapsed time between the measurements. These time durations between the measurements can either be the same which is the expected condition for a practical automatically tracking sonar array or can be all randomly distinct. The paper gives a problem definition in terms of objective function derivation, proposes a modification method for the Big Bang-Big Crunch Optimization algorithm and reports the simulation results.

[1]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[2]  V. Aidala,et al.  The utilization of data measurement residuals for adaptive kalman filtering , 1973 .

[3]  J. Speyer,et al.  A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings only measurements , 1983, The 22nd IEEE Conference on Decision and Control.

[4]  H. V. Trees,et al.  Utilization of Modified Polar Coordinates for BearingsOnly Tracking , 2007 .

[5]  Ibrahim Eksin,et al.  A new optimization method: Big Bang-Big Crunch , 2006, Adv. Eng. Softw..

[6]  V. Aidala,et al.  Utilization of modified polar coordinates for bearings-only tracking , 1983 .

[7]  H.M. Genc,et al.  Bearing-Only Target Tracking Based on Big Bang – Big Crunch Algorithm , 2008, 2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008).

[8]  K. Spingarn Passive Position Location Estimation Using the Extended Kalman Filter , 1987, IEEE Transactions on Aerospace and Electronic Systems.

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

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

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