4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

A novel algorithm for blind adaptive recognition between 8-PSK and π/4-shifted QPSK modulated signals for software defined radio applications

  • @INPROCEEDINGS{10.1109/CROWNCOM.2009.5189385,
        author={Ali  Abavisani and Mohammad Soleimani and Vahid Tabatabavakili},
        title={A novel algorithm for blind adaptive recognition between 8-PSK and π/4-shifted QPSK modulated signals for software defined radio applications},
        proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2009},
        month={8},
        keywords={Automatic Blind Modulation Recognition (ABMR);  Mean Square Error (MSE); Constant Modulus Algorithm (CMA);  Tapped Delay Line filter (TDL); software defined radio (SDR);  relative Euclidean distance; relative phase difference},
        doi={10.1109/CROWNCOM.2009.5189385}
    }
    
  • Ali Abavisani
    Mohammad Soleimani
    Vahid Tabatabavakili
    Year: 2009
    A novel algorithm for blind adaptive recognition between 8-PSK and π/4-shifted QPSK modulated signals for software defined radio applications
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2009.5189385
Ali Abavisani1,2,*, Mohammad Soleimani1,2, Vahid Tabatabavakili1,2
  • 1: Electrical Engineering Department, Iran University of Science and Technology,
  • 2: Tehran, Iran.
*Contact email: abavisani@ieee.org

Abstract

In this paper, we propose a new method to recognizing and distinguishing among 8-PSK modulated signal and pi/4-shifted QPSK, from the samples of received noisy and faded PSK signal. The proposed algorithm is based on computation of relative Euclidean distance and relative phase difference among the received symbols in a frame. Prior to recognition, the constant modulus (CM) equalization is performed. Based on simulation results, this method can perform recognition task with high accuracy even at low signal to noise ratio (SNR) values and employing fairly small number of data samples. To the best of our knowledge in comparison with other methods of distinguishing among QPSK variants, this algorithm do well specially in practical systems which have a limited time to make the decision and use small number of samples of receiving signal.