Title :
Digital modulation recognition using circular harmonic approximation of likelihood function
Author :
Sergienko, Alexander B. ; Osipov, A.V.
Author_Institution :
St. Petersburg Electrotech. Univ., St. Petersburg, Russia
Abstract :
New algorithm is proposed for recognition of linear digital modulation constellations. Its essence is to approximate the likelihood-based approach. Log-likelihood function is approximated by a truncated circular harmonic expansion. If only the first nonzero harmonic is retained in the expansion, simple solutions for dealing with phase and frequency offsets are obtained. Computer simulations confirmed applicability of the proposed method for M-PSK and 16-QAM signals.
Keywords :
approximation theory; phase shift keying; quadrature amplitude modulation; 16-QAM signals; M-PSK signals; digital modulation recognition; frequency offsets; linear digital modulation; log-likelihood function; truncated circular harmonic expansion; Approximation methods; Channel hot electron injection; Error probability; Harmonic analysis; Phase shift keying; Signal to noise ratio; Signal classification; circular harmonic expansion; digital modulation; modulation recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854243
