Fusion Estimation for WSNs with Delayed Measurements
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In this chapter, a state fusion estimator design method will be introduced for multisensor systems with measurement delays, which is usually inevitable in sensor networks. Due to delays in the measurements, it is difficult to construct an innovation sequence that is still white Gaussian as usually does in the standard Kalman filter. Therefore, many research works have been devoted to the design of optimal linear estimators for time-delay systems by using the innovation analysis approach and linear matrix inequality approach [1–7]. For the multisensor case, the information fusion problem has been investigated in [8, 9] for linear stochastic systems with time-delayed measurements, where the observation delays were assumed to be constant.
KeywordsInformation Fusion Linear Matrix Inequality Approach Innovation Sequence Multisensor System Linear Stochastic System
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