PREDICTION OF TRACK PURITY AND TRACK ACCURACY IN DENSE TARGET ENVIRONMENTS

This note is concerned with performance prediction of multiple-target tracking systems, particularly in data-rich, high-target-density envir onments. Two simple but useful expressions are described: i) the expon ential law for predicting average probability of correct data associat ion, and ii) the linear-times-exponential law for calculating the effe ctive measurement error variances with possible data misassociation. E stimation of two key multiple-target tracking performance measures, i. e., track purity and track accuracy, are then derived using these two laws.