<p><a></a><a></a><a>For a ground moving target indication (GMTI)
radar, the presence of </a><a></a><a></a><a></a><a>Doppler blind zone (DBZ)</a> results in many short tracks with frequent label switching, which seriously
deteriorates the tracking performance. When the DBZ masking is coupled with
targets maneuvering, tracking multiple maneuvering targets hidden in the DBZ
becomes very challenging, which is reflected
in the fact that there is no public research on this issue. To overcome this complicated problem, we propose a practical and
fully functional GMTI multi-maneuvering-target
tracker based on the multiple model probability hypothesis density (MM-PHD)
filter. Unlike the standard MM-PHD filter, the proposed tracker utilizes the Doppler information and incorporates the minimum detectable velocity
(MDV) to suppress
the DBZ masking. Furthermore, to cope
with the problems of the fixed initiation and no label output of the standard
MM-PHD filter, the resulting MM-PHD filter with the Doppler and MDV information is augmented with measurement-driven adaptive
track initiation and track label propagation, which are necessary for a practical tracker and also required
for evaluating the overall GMTI tracking performance. Finally, numerical examples show that the proposed tracker outperforms significantly the existing ones, thus verifying its effectiveness.</p>
<p> </p>
Tracking multiple maneuvering targets hidden in the DBZ based on the MM-PHD filter
