Implementation of a Two-Stage Nonlinear Digital Filtering Algorithm Based on the Minimum-Variance Method
https://doi.org/10.17586/0021-3454-2024-67-7-559-566
Abstract
Hardware implementation of a method for processing phase-shift-keyed and frequency-shift-keyed signals based on two-stage nonlinear digital filtering is presented. The first stage is an informationally optimal linear filter with complex coefficients, the second is a quadratic filter based on the Capon minimum-variance method. The algorithm is implemented in hardware as a stand-alone device with an embedded computing system based on programmable logic integrated circuits.
About the Authors
O. A. Morozov
Lobachevsky State University
Russian Federation
Russian Federation
Oleg A. Morozov — Dr. Sci., Professor; Department of Information Technologies in Physical Research; Head of the Department
Nizhny Novgorod
E. M. Sorokhtin
Lobachevsky State University
Russian Federation
Russian Federation
Evgeny M. Sorokhtin — Physical-Technical Scientific Research Institute; Leading Engineer
Nizhny Novgorod
M. M. Sorokhtin
Lobachevsky State University
Russian Federation
Russian Federation
Mikhail M. Sorokhtin — PhD; Department of Information Technologies in Physical Research; Senior Lecturer
Nizhny Novgorod
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Review
For citations:
Morozov O.A., Sorokhtin E.M., Sorokhtin M.M. Implementation of a Two-Stage Nonlinear Digital Filtering Algorithm Based on the Minimum-Variance Method. Journal of Instrument Engineering. 2024;67(7):559-566. (In Russ.) https://doi.org/10.17586/0021-3454-2024-67-7-559-566
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