Abstract
The problem of synthesizing optimal and quasi-optimal algorithms for complex information processing in two-channel vector observation with violations under conditions of environmental opposition is solved using the methods of the Markov theory for estimating random processes. The problem is solved in relation to a discrete-continuous Markov process for the case when its continuous part is a vector Markov sequence, and the discrete part is characterized by a two-component discrete Markov process, each component of which is described by a Markov chain into several positions. A block diagram of quasi-optimal complex information processing is given. Using a simple example, the simulation method shows the efficiency of combining the active and passive goniometric channels of an airborne radar station under conditions of environmental opposition.
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Dedicated to the memory of Mikhail Arkadyevich Mironov.
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Detkov, A.N. Optimum Complexing of Measurements under Conditions of Counteraction of the Environment. J. Commun. Technol. Electron. 67, 559–566 (2022). https://doi.org/10.1134/S1064226922050047
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DOI: https://doi.org/10.1134/S1064226922050047