DocumentCode :
2745023
Title :
A novel algorithm for blind adaptive recognition between 8-PSK and π/4-shifted QPSK modulated signals for software defined radio applications
Author :
Abavisani, A. ; Soleimani, M. ; Tabatabavakili, V.
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1
Lastpage :
6
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.
Keywords :
equalisers; quadrature phase shift keying; software radio; 8-PSK modulated signal; blind adaptive recognition; constant modulus equalization; pi/4-shifted QPSK modulated signals; relative Euclidean distance; relative phase difference; signal-to-noise ratio; software defined radio applications; AWGN; Amplitude shift keying; Application software; Frequency shift keying; Phase modulation; Phase shift keying; Quadrature phase shift keying; RF signals; Software algorithms; Software radio; Automatic Blind Modulation Recognition (ABMR); Constant Modulus Algorithm (CMA); Mean Square Error (MSE); Tapped Delay Line filter (TDL); relative Euclidean distance; relative phase difference; software defined radio (SDR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications, 2009. CROWNCOM '09. 4th International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-3423-7
Electronic_ISBN :
978-1-4244-3424-4
Type :
conf
DOI :
10.1109/CROWNCOM.2009.5189385
Filename :
5189385
Link To Document :
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