On the performance and consistency of a noninteractive multiple-model filter

Ali T. Alouani; John E. Gray

doi:10.1117/12.543142

27 July 2004 On the performance and consistency of a noninteractive multiple-model filter

Ali T. Alouani, John E. Gray

Proceedings Volume 5430, Acquisition, Tracking, and Pointing XVIII; (2004) https://doi.org/10.1117/12.543142
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Tracking maneuvering target using multiple models is an attractive approach that is an alternative to a design that needs logic for both maneuver detection and filter re-initialization. Common current practice in multiple model tracking uses a switching Markov model. Recently the authors developed a multiple model approach to tracking maneuvering targets, but without using a switching Markov model. The models used work independently, while the process noise of each is adjusted online based on a relative likelihood function. The performance and consistency of the newly developed filter are compared to an IMM tracker.

Citation Download Citation

Ali T. Alouani and John E. Gray "On the performance and consistency of a noninteractive multiple-model filter", Proc. SPIE 5430, Acquisition, Tracking, and Pointing XVIII, (27 July 2004); https://doi.org/10.1117/12.543142

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