Fast digital algorithms for the noncoherent demodulation of the differential phase-shift keyed binary signals O. V. Chernoyarov, A. N. Glushkov, V. P. Litvinenko [et al.]
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ArticleSubject(s): некогерентная демодуляция | дифференциальная двоичная фазовая манипуляция | гауссовский шумGenre/Form: статьи в журналах Online resources: Click here to access online
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International review of electrical engineering Vol. 13, № 4. P. 334-341Abstract: In this paper, the fast digital algorithms for noncoherent demodulation of the binary and four position differential phase-shift keyed signals providing the minimum number of arithmetic operations over the carrier period have been studied. The properties of the demodulator responses have been considered and the expressions for the incorrect reception probability have been found while the useful signal is distorted by Gaussian white noise. It is shown that the presented algorithms realize the functional frequency selection, they provide a potential interference immunity against Gaussian noises and, as a result, they implement an optimal signal extraction in broad-band noises. Operability and efficiency of the introduced demodulators have been confirmed by experimental data obtained from statistical simulation.
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In this paper, the fast digital algorithms for noncoherent demodulation of the binary and four position differential phase-shift keyed signals providing the minimum number of arithmetic operations over the carrier period have been studied. The properties of the demodulator responses have been considered and the expressions for the incorrect reception probability have been found while the useful signal is distorted by Gaussian white noise. It is shown that the presented algorithms realize the functional frequency selection, they provide a potential interference immunity against Gaussian noises and, as a result, they implement an optimal signal extraction in broad-band noises. Operability and efficiency of the introduced demodulators have been confirmed by experimental data obtained from statistical simulation.
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