GM-PHD Filter Combined with Track-Estimate Association and Numerical Interpolation

Jinguang Chen, Bugao Xu, Lili Ma, Rui Sun
2015 Mathematical Problems in Engineering  
For the standard Gaussian mixture probability hypothesis density (GM-PHD) filter, the number of targets can be overestimated if the clutter rate is too high or underestimated if the detection rate is too low. These problems seriously affect the accuracy of multitarget tracking for the number and the value of measurements and clutters cannot be distinguished and recognized. Therefore, we proposed an improved GM-PHD filter to tackle these problems. Firstly, a track-estimate association was
more » ... ociation was implemented in the filtering process to detect and remove false-alarm targets. Secondly, a numerical interpolation technique was used to compensate the missing targets caused by low detection rate. At the end of this paper, simulation results were presented to demonstrate the proposed GM-PHD algorithm is more effective in estimating the number and state of targets than the previous ones.
doi:10.1155/2015/629023 fatcat:aor2jabu2bbdtcdv27c3qn735i