Triplet Signal Generation for Bispectrum-Based Digital Wireless Communication Systems

Naumenko, V. V.; Solodovnik, V.F.; Totskiy, A. V.; Astola, Jaakko

doi:10.1615/telecomradeng.v74.i8.40

Cited by 4 publications

(2 citation statements)

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“…For a stationary stochastic signal with zero mean, the moment and the cumulant are equal. The bispectrum has found applications in various fields including astronomy and cosmology [5][6][7][8][9], signal and image processing [10][11][12][13], interferometry applications [14], and mechanical [15][16][17][18][19][20], electrical [21][22][23][24][25], medical, and biomedical engineerings [19,[26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Fractional bispectrum transform: definition and properties

Abolbashari¹,

Kim

Babaie

et al. 2017

IET signal process.

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A signal with discrete frequency components has a zero bispectrum if no addition or subtraction of any of the frequencies equals one of the frequency components. The authors introduce the fractional bispectrum (FBS) transform in which for signals with zero bispectrum the FBS could be non-zero. It is shown that FBS has the same property as the bispectrum for signals with a Gaussian probability density function (PDF). The FBS of a zero mean signal with a Gaussian PDF is zero. Therefore, it can be used to significantly reduce the Gaussian noise.

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Section: Introductionmentioning

confidence: 99%

Fractional bispectrum transform: definition and properties

Abolbashari¹,

Kim

Babaie

et al. 2017

IET signal process.

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“…Для улучшения надежности передачи информации в СШП системе связи применяют достаточно длинные серии импульсов-моноциклов, высокая частота повторения которых позволяет использовать пачки из нескольких импульсов[4]. В пачке может содержаться, например, 100 импульсов на один бит или более.…”

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Система Импульсной Радиосвязи С Использованием Сверхширокополосных Сигналов-Триплет

Науменко¹,

Проскура²,

Тоцкий³

2018

reks

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Intensive development of modern wirelesscommunications such as the systems of wireless access toInternet and local network systems operating in indoorenvironment provoked interest in study the features andmodels of wireless communication channels. The presence ofthe walls; partitions; furniture; radio electronic equipment;people and other objects inside the building create intricateenvironment for the propagation of radio waves. The maineffects observed in the propagation of radio waves inside thepremises are multipath due to multiple reflections of radiowaves from walls and other objects; diffraction on thenumerous sharp edges of objects located inside the room; andscattering of radio waves. These effects create intricateinterference structure of the electromagnetic field; whichvaries greatly when people and other objects move.UWB communication systems are characterized by highdata rates; low cost; multipath immunity; and large toleranceto interfering legacy systems. In recent years; UWBtechnologies have been rapidly developingPerformance of all known communication systems usingenergy-based receivers largely depends on the transmittedsignal energy; i.e. decision making is carried out at thematched filter output by estimation of signal energy. Due tothis principal peculiarity; deep fading attenuating of receivedsignal magnitude provokes considerable decreasing of signalenergy and; as consequence; performance provided bycommon energy-based decision making strategy is worsen.Suggested strategy exploiting for building novel UWBcommunication systems is based on the features of higher-order spectra. Performance provided by exploitingsuggested bispectrum-organized triplet-signals andbispectrum-based decision making for detection anddiscrimination the triplets depends on given phase couplingrelationships contained in triplet-signals. Because of this;despite considerable attenuating of triplet-signal amplitude;phase coupling information remains to be preserved for truetriplet-signals discrimination and correct decision making fordata passed through the fading wireless channel

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