Comparison of IMMPDA and IMM-assignment algorithms on real air traffic surveillance data
Thiagalingam T. Kirubarajan, Murali Yeddanapudi, Yaakov Bar‐Shalom, Krishna Rao Pattipati · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
In this paper a comparative performance analysis of the interacting multiple model (IMM) estimation algorithm combined with the probabilistic data association filter (PDAF) and the IMM-assignment algorithm for multisensor, multitarget tracking with real air traffic surveillance data is presented. The measurement database from two FAA sensors contains detections of about 75 targets in a wide variety of motion modes. Procedures for track formation/maintenance and data association with IMMPDAF are given. Global performance measures in terms of likelihood ratio and prediction errors are presented. Also, a benchmark track with maneuvers is used to compare the performances of these algorithms for individual tracks.