Author
Abstract
This article suggest a simple adaptive approach for tracking the
nonmaneuvering 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.
Keywords
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