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20 August 1998 Decentralized multiplatform data fusion
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Abstract
The decentralized data fusion paradigm is the more general case of centralized fusion. Although centralized fusion is currently well understood and applied widely, a decentralized approach offers many (potential) advantages. These include significant improvements in modularity, fault tolerance, and scalability. In particular, decentralized techniques directly support the development of 'plug and play' systems, and can provide valuable insights into the relationship between system level performance and that of sensor sub-systems. There can also be a provable equivalence to optimal centralized algorithms. This paper describes the design of a preliminary, comprehensive demonstration of the concept of fully decentralized, modular sensing technology. The demonstrator will allow for multiple sensor platforms each equipped with one or more range-only, bearings-only, or range and bearing sensors providing limited view, asynchronous measurements of the target environment. This work builds on the latest developments in the information-based representations of the data fusion process, as these make explicit the value (or utility) of each data fusion decision.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hugh F. Durrant-Whyte, Rob H. Deaves, and Phil Greenway "Decentralized multiplatform data fusion", Proc. SPIE 3393, Digitization of the Battlespace III, (20 August 1998); https://doi.org/10.1117/12.317673
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