Abstract
With the increase of the resolution of modern radars and other detection equipments, one target may produce more than one measurement. Such targets are referred to as extended targets. Recently, multiple extended target tracking (METT) has drawn a considerable attention. However, one crucial problem is how to partition the measurement sets accurately and rapidly. In this paper, an improved METT algorithm is proposed based on the Gaussian mixture probability hypothesis density (GM-PHD) filter and an effective partition method using spectral clustering technique. First, the density analysis technique is introduced to eliminate the disturbance of clutter, and then the spectral clustering technique based on neighbor propagation is used to partition the measurements. Finally, the GM-PHD filter is implemented to achieve the METT. Simulation results show that the proposed algorithm has a better performance, especially a better real-time performance, than the conventional distance partition and K-means++ methods.
Highlights
In most target tracking cases, it is assumed that one target generates at most one measurement per time step due to the low resolution sensor system, i.e., each target is tracked as a single point source, and its extension is assumed to be neglectable in comparison with sensor resolution [1,2,3]
Extended target tracking is a hot topic in the field of data fusion and has drawn a considerable attention, especially the multiple extendedtarget tracking (METT) [8,9,10,11,12,13,14]
2.1 Measurement partition In the METT, measurement partition is a matter of prime importance due to many measurements originating from a single target
Summary
In most target tracking cases, it is assumed that one target generates at most one measurement per time step due to the low resolution sensor system, i.e., each target is tracked as a single point source, and its extension is assumed to be neglectable in comparison with sensor resolution [1,2,3]. With the increase of the resolution of modern radars and other detection equipments, the echo signal of a target may be distributed in a different range resolution cell, so the measurement is no longer equivalent to a point, i.e., a single target may produce multiple measurements. Such target is referred to as an extended target in [4,5,6,7].
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