A Study on the Detection Algorithm of QPSK Signal Using TDNN

  • Sun-Kuk Noh
  • Jae-Young Pyun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


Mobile communications and digital wireless communications are requested high frequency use-rates, more efficient data transmission with limited signal power, frequency band. As multiple users share the same frequency in the mobile communications environment, the spectrum efficiency is getting higher. Moreover, as the effect of the velocity of the mobile object and the terrain surroundings get higher, the digital modulation method is required that the character of linear constant amplitude. In this paper, to restore simply and correctly the received signal of quadrature phase shift keying (QPSK) signal in digital wireless communications, we suggest and simulate an algorithm for detection of QPSK signal using time delay neural networks (TDNN). As the results of simulation, the suggested method is confirmed that the phase information of the QPSK signal is recovered simply and correctly in the mobile communications and digital wireless communications.


Spectrum Efficiency Mobile Object Symbol Error Rate Inter Symbol Interference Symbol Error Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sun-Kuk Noh
    • 1
  • Jae-Young Pyun
    • 2
  1. 1.Dept. of Radio Mobile Communication EngineeringHonam University 
  2. 2.Dept. of Information Communication EngineeringChosun University 

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