The Analysis of Parameters of Four-Item Phase Modulation QPSK

Mikushin, A.V.; Shingarev, A.M.

doi:10.1109/sibedm.2007.4292958

2007 8th Siberian Russian Workshop and Tutorial on Electron Devices and Materials

2007

DOI: 10.1109/sibedm.2007.4292958

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The Analysis of Parameters of Four-Item Phase Modulation QPSK

A.V. Mikushin

A.M. Shingarev

Abstract: in article bases of four-item phase modulation QPSK are considered. Diagrams QPSK of a signal in time and frequency area are resulted. The basic variants of construction QPSK of modulators are considered.The method of research had been chose a method of the mathematical analysis.

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Research on Key Problems of Channel Estimation Based on Plural RBF Neural Network

Wang¹,

Hu²,

Zhang³

et al. 2015

IJHIT

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A new channel estimation method of neural network based on complex radial basis function (CRBF) is proposed to enhance the anti-interference ability of traditional pilot frequency estimation algorithm in power line communication (PLC). This method builds up a new channel model of complex field signals in PLC. The complete response model was established by using transmitting terminal's pilot signal as input sample data, pilot signal's frequency response as output sample data, and pre-setting mean square error (MSE) and diffusion constant. Computer simulations show that compared with the traditional algorithm the channel estimation was more accurate and had lower MSE and bit error rate (BER).

show abstract

Research on Key Problems of Channel Estimation Based on Plural RBF Neural Network

Wang¹,

Hu²,

Zhang³

et al. 2015

IJHIT

View full text Add to dashboard Cite

show abstract

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The Analysis of Parameters of Four-Item Phase Modulation QPSK

Abstract: in article bases of four-item phase modulation QPSK are considered. Diagrams QPSK of a signal in time and frequency area are resulted. The basic variants of construction QPSK of modulators are considered.The method of research had been chose a method of the mathematical analysis.

Cited by 1 publication

References 0 publications

Research on Key Problems of Channel Estimation Based on Plural RBF Neural Network

Research on Key Problems of Channel Estimation Based on Plural RBF Neural Network

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