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The main objective of this paper is to analyze models, techniques, algorithms and infrastructures needed to complete decentralized data fusion. It is often to use the Simple Tracking Fusion Algorithm in decentralized data fusion for Multi-sensor. But that algorithm is on the hypothesis that the output of each local filter is uncorrelated. If the fusion result is given back to each local filter, the...
Measurements can arrive in different decentralized tracker at out-of-sequence due to the sensor diversity, unsteady pre-processing times of observed data and communication delays in naval cooperative engagement. So far, most of existing solutions to this problem are based on retrodiction, linear model and central processing. To increase the performance of maneuvering target tracking and fusion with...
This paper discusses the identification of multivariable linear time-invariant systems, under the condition that colored noise disturbance exists both in the input and output observation data simultanuously. A recursive algorithm is developed by using eigenvector method for identifying multivariable systems, and also the problem of convergence is discussed. The result of simulation on digital computer...
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