In the field of data fusion, many studies have been conducted with a focus on establishing a fusion algorithm for fusion processing and algorithm improvement. Facing on all kinds of various algorithms, the key is how to characterize the relationship between sensed information input and the quality of fused information output. In order to improve reusability, this paper presents a general fusion performance model (FPM) for multisensor fusion system. The model includes both kinematics and classification component and focuses on the two performance measures: classification error and positional error. The performance model is based on the Bayesian theory and a combination of simulation and analytical methods. The model will not only help us understand the fusion system performance but also provide high level performance bounds given sensor mix and quality for system control such as sensor resource allocation and estimate information requirement.
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