학술논문

Combining IMM filtering and MHT data association for multitarget tracking
Document Type
Conference
Source
Proceedings The Twenty-Ninth Southeastern Symposium on System Theory System theory System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on. :123-127 1997
Subject
Computing and Processing
Filtering
Target tracking
Radar tracking
Covariance matrix
History
Aircraft
Testing
Computational modeling
Kalman filters
Delay
Language
ISSN
0094-2898
Abstract
Interacting multiple model (IMM) filtering and multiple hypothesis tracking (MHT) represent the most accurate methods currently available for tracking multiple maneuvering targets in cluttered environments. Although these methods are complex, modern computational capabilities make their combined implementation feasible for modern tracking systems. The paper discusses a radar IMM/MHT implementation that has been developed and tested by simulation. Tracking performance results are presented for the IMM/MHT method and compared with results from a conventional method. Preliminary estimates of computational requirements are given in order to demonstrate implementation feasibility.