Static/dynamic distributed interacting multiple model fusion algorithms for multi-platform multi-sensor tracking

Zhen Ding; Lang Hong

doi:10.1117/1.601268

1 March 1997 Static/dynamic distributed interacting multiple model fusion algorithms for multi-platform multi-sensor tracking

Zhen Ding, Lang Hong

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Optical Engineering, Vol. 36, Issue 3, (March 1997). https://doi.org/10.1117/1.601268

Static and dynamic distributed interacting multiple model (IMM) fusion algorithms for multiplatform multisensor tracking are developed. Each platform contains a model set, which may or may not be the same as that of other platforms. An interacting multiple model filtering is performed on each platform. An equivalent platform model and an equivalent global model are constructed. To save the bandwidth of an interplatform communication datalink, only combined IMM tracks are allowed to communicate. Taking advantage of the equivalent models, both static and dynamic fusion algorithms have very decent and comparable results. But simulations show that the computation complexity for the dynamic fusion algorithm is far lower than that of the static fusion algorithm. Both algorithms benefit from multiple models and distributed tracking.

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Zhen Ding and Lang Hong "Static/dynamic distributed interacting multiple model fusion algorithms for multi-platform multi-sensor tracking," Optical Engineering 36(3), (1 March 1997). https://doi.org/10.1117/1.601268

Published: 1 March 1997

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