Simple adaptive tracking approach for no maneuvering and maneuvering target

Abstract EN

This article suggest a simple adaptive approach for tracking the non maneuvering and maneuvering target, this tracking approach uses two states per coordinate model to describe the target motion, the residue that provides from this filter is forms the sufficient statistic to detect the existence of maneuver by fading memory detector (FMD) with two-threshold value.

When the residue exceeds one on the threshold value, it is used to vary the maneuver noise spectral density (q) in the two states Kalman filter model.

This approach is consider as an extended and enhanced for the Castella tracking filter [3] which proposed to track the maneuvering targets for a low data rate track-while-scan (TWS) operation.

However, the performance of the suggested approach is tested under different flight environments to compare the effectiveness of it with the performance of the Castella tracking filter.