Abstract
Ensuring the accuracy of signal processing in the context of incomplete a priori information is one of the primary problems of applied theory and technique of radio reception. In this paper two problems are solved. Using a randomization method, the random process models are created, the statistical parameters of which are random as well with known probability distribution. On the basis of this, the optimal detection algorithms by one received sample or by a pack of samples are synthesized using the likelihood ratio and the Wald randomization. Efficiency and robustness of synthesized algorithms to non-gaussian interference are investigated.
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