Optimal signal detection for false track discrimination
Thomas Hanselmann, Darko Mušicki · 2005
Optimal signal detection for false track discrimination is determined by simulation using the integrated probabilistic data association (IPDA) algorithm. The IPDA algorithm is an efficient probabilistic data association algorithm with estimates of target existence probabilities that can be used to distinguish true and false tracks. The rate of confirmed false tracks is held constant and the optimal signal detection probability is determined by the maximum confirmed true tracks for a given signal to noise ratio. This allows the determination of the optimal detection probability which is reported for a range of signal to noise ratios.