The demodulation signal under the influence of additive and multiplicative non-Gaussian noise

Artyushenko, V. M.; Volovach, V. I.; Shakursky, M. V.

doi:10.1109/ewdts.2016.7807704

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Cited by 11 publications

(1 citation statement)

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“…Phase noise (PN) as another case of non-Gaussian noise [12] needs to be mitigated at the receiver. Low-cost oscillators at the receiver cannot produce an ideal dirac delta power spectral density (PSD).…”

Section: Introductionmentioning

confidence: 99%

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

alizadeh¹

2021

Preprint

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Section: Introductionmentioning

confidence: 99%

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

alizadeh¹

2021

Preprint

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Simulation of Continuous Markov Processes in Discrete-Time for Signals Described by Stochastic Differential Equations

Artyushenko

Volovach

Budilov

2021

J. Phys.: Conf. Ser.

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We considered the issues associated with methods for solving the problems of representation of continuous Markov processes in discrete-time by the example of radar signals, which are subject to the simultaneous effect of additive and multiplicative noise described by stochastic differential equations. We considered the algorithm, which allows us to carry out computer simulation of fading amplitude, phase and information parameter of the signal in discrete observation time using the example of a continuous frequency-modulated signal, the amplitude of which adheres to the Nakagami distribution that is typical for radar signals under simultaneous effect of additive and multiplicative noise. It is shown that with the help of computer simulation it is possible to create not only optimal algorithms, but also their corresponding optimal structural diagrams, which makes it possible to elevate the processing of radar signals to higher standards.

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Comparative analysis of discriminators efficiency of tracking meters under influence of non-Gaussian broadband and band-limited noise

Mikhaylovich

Volovach

2017

2017 Dynamics of Systems, Mechanisms and Machines (Dynamics)

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The demodulation signal under the influence of additive and multiplicative non-Gaussian noise

Cited by 11 publications

References 4 publications

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

Simulation of Continuous Markov Processes in Discrete-Time for Signals Described by Stochastic Differential Equations

Comparative analysis of discriminators efficiency of tracking meters under influence of non-Gaussian broadband and band-limited noise

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