Comparison of IMMPDA and IMM-assignment algorithms on real air traffic surveillance data

31 May 1996

proceedings article
Published by SPIE-Intl Soc Optical Eng

Vol. 2759, 453-464
https://doi.org/10.1117/12.241206

Abstract

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.

Keywords

This publication has 0 references indexed in Scilit: