Filter to improve moving target tracking
Target tracking filters have a variety of applications in various areas. Typically, a radar provides the range measurement and an optical sensor measures the orientation of a target. The measurements provided by the sensors have very strong nonlinearities with the states of the target given in the Cartesian coordinates while its dynamics is linear parameter time-varying. The time-varying component exists because of the unknown acceleration input in the target. Nonlinear projection filter provides a solution to the nonlinear estimation problem by approximating the solution as a linear combination of orthogonal basis functions. The analytic expression for propagating the joint probability density function is derived for the target tacking problem and this reduces large amount of computation times, where the filter equations are normally obtained numerically. The effectiveness of the filter is demonstrated by a numerical simulation.
Jongrae Kim (2016) Nonlinear projection filter for target tracking using range sensor and optical tracker. IFAC-Papers On Line. 49, (17), 438-443 Doi:10.1016/j.ifacol.2016.09.075 Read publication.
Presented at 20th IFAC Symposium on Automatic Control in Aerospace – ACA 2016, 21-25 August, 2016, Sherbrooke, Quebec, Canada.
