Title :
Maximum likelihood detection of phase shift keying modulated signal with self-organized clustering assistant
Author :
Lerkvaranyu, Somkiat ; Miyanaga, Yoshikazu
Author_Institution :
Dept. of Electron. Eng., Hokkaido Univ., Sapporo, Japan
Abstract :
For the detection of phase shift keying (PSK) modulated signal in the presence of phase error and Gaussian noise, the maximum likelihood detection with self-organized clustering assistant (ML-SOCA) is proposed in this paper. When the training data available, the system use the training sequences which are transmitted within each burst to adapt the decision region by SOCA. Simulation results were obtained with 4PSK and 8PSK in an additive white Gaussian noise (AWGN) channel.
Keywords :
AWGN channels; learning (artificial intelligence); maximum likelihood detection; pattern clustering; phase shift keying; self-organising feature maps; telecommunication computing; telecommunication switching; AWGN channel; Gaussian noise; ML-SOCA; PSK; additive white Gaussian noise channel; burst transmission; decision region; maximum likelihood detection; phase error; phase shift keying modulated signal; self-organized clustering assistant; simulation; system training sequences; training data; Additive white noise; Clustering algorithms; Constellation diagram; Detectors; Gaussian noise; Maximum likelihood detection; Partitioning algorithms; Phase modulation; Phase shift keying; Signal processing algorithms;
Conference_Titel :
Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8593-4
DOI :
10.1109/ISCIT.2004.1413831
