Enhancing the efficiency of coherent processing of chaotic signals during the transmission of binary messages using surrogate signals

Kostenko, P. Yu.; Василишин, Владимир Иванович; Symonenko, S. N.; Vysotskii, O. V.; Yakovenko, D. S.

doi:10.3103/s0735272712070035

Cited by 7 publications

(3 citation statements)

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“…Image of the time series embedded into the pseudo-phase space in nonlinear dynamics is associated with a set of points, which are called attractor [7,8,[14][15][16].…”

Section: Signal Processing Correction During the Signal Spectral Analmentioning

confidence: 99%

“…This paper, as well as [15,16], employ just such variant of the algorithm. It should be noted that in the case of using the algorithm with randomization of the observation Fourier-spectrum phases, the dimension of the vector of surrogate data coincides with the dimension of the vector of observations [13].…”

Section: Signal Processing Correction During the Signal Spectral Analmentioning

confidence: 99%

“…In [14][15][16] the ATS algorithm and its modifications were used for empirical estimation of the likelihood ratio [14], reduction of the noise impact in chaotic carrier observation during the binary message transmission [16], enhancing the efficiency of parameter estimation of regular and chaotic signals observed against the background of additive noise [15].…”

Section: Introductionmentioning

confidence: 99%

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Signal processing correction in spectral analysis using the surrogate autocovariance observation functions obtained by the ATS-algorithm

Kostenko

Vasylyshyn

2014

Radioelectron.Commun.Syst.

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The problem of processing correction of signals observed against the background of noise has been considered in relation to their spectral analysis by the Root-MUSIC method using the technology of surrogate autocovariance functions (ACF) of observation. The results of simulation modeling are presented dealing with the correction of observation processing by means of the phase randomization of spectral components of observation ACF using the ATS-algorithm for generating the observation surrogate ACF. It has been shown that in generating surrogate data from the observation ACF, ATS-algorithm ensures the highest efficiency at small signal-to-noise ratios.

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“…Image of the time series embedded into the pseudo-phase space in nonlinear dynamics is associated with a set of points, which are called attractor [7,8,[14][15][16].…”

Section: Signal Processing Correction During the Signal Spectral Analmentioning

confidence: 99%

Section: Signal Processing Correction During the Signal Spectral Analmentioning

confidence: 99%