Kalman filter versus IMM estimator: when do we need the latter?
- 1 October 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 39 (4), 1452-1457
- https://doi.org/10.1109/taes.2003.1261143
Abstract
In this paper, a performance comparison between a Kalman filter and the interacting multiple model (IMM) estimator is carried out for single-target tracking. In a number of target tracking problems of various sizes, ranging from single-target tracking to tracking of about a thousand aircraft for air traffic control, it has been shown that the IMM estimator performs significantly better than a Kalman filter. In spite of these studies and many others, the condition under which an IMM estimator is desirable over a single model Kalman filter versus an IMM estimator are quantified here in terms of the target maneuvering index, which is a function of target motion uncertainty, measurement uncertainty, and sensor revisit interval. Using simulation studies, it is shown that above a certain maneuvering index an IMM estimator is preferred over a Kalman filter to track the target motion. These limits should serve as a guideline in choosing the more versatile, but somewhat costlier, IMM estimator over a simpler Kalman filter.Keywords
This publication has 7 references indexed in Scilit:
- Estimation with Applications to Tracking and NavigationPublished by Wiley ,2002
- Precision large scale air traffic surveillance using IMM/assignment estimatorsIEEE Transactions on Aerospace and Electronic Systems, 1999
- Benchmark for radar allocation and tracking in ECMIEEE Transactions on Aerospace and Electronic Systems, 1998
- IMMPDAF for radar management and tracking benchmark with ECMIEEE Transactions on Aerospace and Electronic Systems, 1998
- Interacting multiple model methods in target tracking: a surveyIEEE Transactions on Aerospace and Electronic Systems, 1998
- IMM estimation for multitarget-multisensor air traffic surveillanceProceedings of the IEEE, 1997
- The interacting multiple model algorithm for systems with Markovian switching coefficientsIEEE Transactions on Automatic Control, 1988