Bayesian Estimation with Successive Rejection and Utilization of A Priori Knowledge
| Autor: | V. A. Grigoriev, M. G. Bakulin, A. S. Schesnyak, V. B. Kreyndelin, V. O. Aksenov |
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| Rok vydání: | 2020 |
| Předmět: |
Bayes estimator
Radiation Distribution (number theory) Computer science SIGNAL (programming language) Bayesian probability Condensed Matter Physics Communications system Electronic Optical and Magnetic Materials Entropy (information theory) A priori and a posteriori Demodulation Electrical and Electronic Engineering Algorithm |
| Zdroj: | Journal of Communications Technology and Electronics. 65:255-264 |
| ISSN: | 1555-6557 1064-2269 |
| Popis: | A method for synthesis of estimation algorithms using the Bayesian approach with successive consideration of a priori knowledge is presented. The lack of knowledge on the form of the a priori distribution or the rejection of this knowledge due to the impossibility of deriving a Bayesian estimation algorithm can be simulated by replacing the true a priori distribution with another distribution having a higher entropy; in this case, well-known nonBayesian estimation algorithms can be obtained using the classical Bayesian rule. An approach to the synthesis of an estimation algorithm is proposed, in which a part of a priori knowledge is successively rejected, then taken into account. Examples of practical use of this approach for the synthesis of a signal demodulation algorithm in communication systems with a MIMO channel are presented. |
| Databáze: | OpenAIRE |
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