Single-model multiple-process noise soft-switching filter

Ali T. Alouani; Theodore R. Rice

doi:10.1117/12.341348

12 March 1999 Single-model multiple-process noise soft-switching filter

Ali T. Alouani, Theodore R. Rice

Proceedings Volume 3719, Sensor Fusion: Architectures, Algorithms, and Applications III; (1999) https://doi.org/10.1117/12.341348
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper presents a new tracking filter capable of soft switching between two kinematic target models without requiring any a prior knowledge of the target state's transition probability matrix. The target models used are both constant velocity models, one with a low state process noise and one with a high state process noise. Simulations are performed to show the soft switching capability of the new filter as well as its performance. The newly derived filter significantly outperforms a well-known variable dimension filter. The result of this paper constitute a first step toward designing a new class of filters that are capable of soft switching between different target kinematic models without requiring a priori knowledge of the target state's transition likelihoods.

Citation Download Citation

Ali T. Alouani and Theodore R. Rice "Single-model multiple-process noise soft-switching filter", Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); https://doi.org/10.1117/12.341348

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