A track scoring MOP for perimeter surveillance radar evaluation

For real-world tracking performance evaluation, there are issues associated with measurement-to-track assignment, operating conditions of sensor modeling and uncertainty, and coordination between sensors for accurate track evaluation. In this paper, we demonstrate a real-world application of track performance evaluation for perimeter surveillance radars. To this end, a new track scoring measure of performance (MOP) is introduced called the Target Coverage Consistency (TCC). It is similar to the percentage-time tracked, however the score is modulated to account for divergent, redundant and false track times. Through a simple example and real-world data analysis, we demonstrate the usefulness of the scoring methodology for performance assessment in relation to real operational sensors.