A modified variable dimension filter with input estimation for maneuvering target tracking

Abstract

This paper presents a modified variable dimension filter with input estimation for maneuvering target tracking. The conventional variable dimension filter with input estimation (VDIE) consists of the input estimation (IE) technique and the variable dimension (VD) filter. In the VDIE, the IE technique is used for estimation of a maneuver onset time and its magnitude in the least square sense. The detection of the maneuver is declared using the estimated magnitude of the acceleration. The VD filter structure is applied for the adaptation to the maneuver of the target after compensating the filter parameter with respect to the estimated maneuver when the detection of the maneuver is declared. The VDIE is known as one of the best maneuvering target tracking filter based on a single filter. However, it requires too much computational burden since the IE technique is performed at every sampling instance and thus it is computationally inefficient. We propose another variable dimension filter with input estimation named Modified VDIE which combines VD filter with IE technique. Modified VDIE has less computational load than the original one by separating maneuver detection and input estimation. Simulation results show that the proposed VDIE is more efficient and outperforms in terms of computational load.