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Time-varying optimal distributed fusion white noise deconvolution estimator |
Xiaojun SUN( ), Guangming YAN |
| College of Electrical Engineering, Heilongjiang University, Harbin 150080, China |
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Abstract White noise deconvolution has a wide range of applications including oil seismic exploration, communication, signal processing, and state estimation. Using the Kalman filtering method, the time-varying optimal distributed fusion white noise deconvolution estimator is presented for the multisensor linear discrete time-varying systems. It is derived from the centralized fusion white noise deconvolution estimator so that it is identical to the centralized fuser, i.e., it has the global optimality. It is superior to the existing distributed fusion white noise estimators in the optimality and the complexity of computation. A Monte Carlo simulation for the Bernoulli-Gaussian input white noise shows the effectiveness of the proposed results.
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| Keywords
multisensor information fusion
distributed fusion
white noise deconvolution
global optimality
Kalman filtering
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Corresponding Author(s):
SUN Xiaojun,Email:sxj@hlju.edu.cn
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Issue Date: 05 September 2012
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