Enhanced Strategy to Sample Newborn Targets within Nonthresholded Measurements

Recently, Random finite set theory has attracted researchers’ interest in the field of multitarget tracking time varying number of targets. Its main drawback is it is notessentially formulated for nonthresholded measurements. This paper examines the problem of multitarget tracking with timevarying number of targets dealing with raw and nonthresholdedmeasurements. Recursive equations for updating the joint multi target state posterior density are approximated by a newenhanced particle filter that includes effective strategies to tackle the challenges of effective track initialization anddeletion with limited resources, as well as doing the data association step implicitly. Simulations prove efficiency of the suggested strategies under different conditions

کلیدواژه ها:

Multitarget tracking and detection ، Particle filter ، Raw measurements ، Time varying number of targets