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Discrete linear recursive smoothing for systems with uncertain observations

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1 Author(s)
Monzingo, R. ; Hughes Aircraft Company, Fullerton, CA, USA

The least-squares smoothing estimate for discrete linear systems with uncertain observations is investigated. The observations may contain noise alone, and the uncertainty in the observations is governed by a binary switching sequencegammak, wheregammakmay be regarded as a mixture process and is specified by a conditional probability distribution. Examples of such systems are found in multichannel data links with random interruptions, and such mixture sequences can also serve as models for a communication channel with multiplicative noise.

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Automatic Control, IEEE Transactions on  (Volume:26 ,  Issue: 3 )