Clutter Removal in Sonar Image Target Tracking Using PHD Filter

In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special features can remove clutter and track targets accurately and precisely. PHD filter does not need data association techniques and so can be used in online application where spent time for tracking is very important.