DOI 10.17586/0021-3454-2024-67-7-559-566
UDC 621.397
IMPLEMENTATION OF A TWO-STAGE NONLINEAR DIGITAL FILTERING ALGORITHM BASED ON THE MINIMUM-VARIANCE METHOD
Lobachevsky State University of Nizhny Novgorod Department of Information Technologies in Physical Research; Head of the
E. M. Sorokhtin
Lobachevsky State University of Nizhny Novgorod, Physical-Technica Scientific Research Institute; Leading Engineer
M. M. Sorokhtin
Lobachevsky State University of Nizhny Novgorod, Department o Information Technologies in Physical Research ; Senior Lecturer
Reference for citation: 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. Vol. 67, N 6. P. 559–566 (in Russian). DOI: 10.17586/0021-3454-2024-67-6-559-566.
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..
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..
Keywords: demodulation, embedded implementation, FPGA, Capon’s minimum variance method, phase shift keying, frequency shift keying.
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