Nearest Neighbour Criterion - Analitical Performance Evaluation

In this paper we consider the capabilities of nearest neighbor as a criterion of data association to ensure correct decision in associating measurement to target. We continue the work started in our previous paper to establish analytical approach end to derive explicit expressions for calculating correct data association probability for different levels of false alarm densities. Recurrent equation for correct association probability is derived. By means of this equation expressions for some particular values of FA densities are received. The correctness of the derivation is proved by the results of exhaustive Monte Carlo simulations