Bayesian regularization in the theory of STAP

 V. Orlenko, Y. Shirman
UDK 621.396.96
Article language: english
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Annotation: After adding some details to Melvin's overview on theory and technique of STAP, we point out the role of accounting for Bayesian methods in adaptation theory. In this regard, we develop the relationship between STAP and CFAR shown by E. Kelly but from Bayesian positions and propose the new technique for co-variance matrix estimate regularization optimized from the Bayesian positions. The Bayesian regularization synthesized in the paper is tested using computer simulation.

Information about the authors of publication:
Orlenko, V.. and Shirman, Y. (2006), Bayesian regularization in the theory of STAP, Systems of Arms and Military Equipment, No. 4(8), pp. 118-123.