Title :
Statistical moments based classifier for MPSK signals
Author :
Yang, Yawpo ; Soliman, Samir S.
Author_Institution :
Dept. of Electr. Eng., Chung Cheng Inst. of Technol., Tao-Yuan, Taiwan
Abstract :
The authors report a novel moments-based classifier to classify MPSK (M-ary phase shift keying) signals by using the moments of the phase utilizing the exact phase distribution. When compared with a case in which the Tikhonov function is used to approximate the asymptotic distribution of the phase, the new classifier with 1024 samples offered a 2 dB improvement. The 2 dB improvement is offered when the probability of misclassification is 0.01. Furthermore, improvement in performance can be obtained by increasing the length of the observation interval
Keywords :
phase shift keying; signal processing; statistical analysis; M-ary phase shift keying; MPSK signals; Tikhonov function; asymptotic distribution; misclassification probability; moments-based classifier; observation interval; phase distribution; signal processing; statistical classifier; Classification algorithms; Frequency; Pattern recognition; Performance analysis; Phase modulation; Phase shift keying; Signal analysis; Signal design; Signal processing; Testing;
Conference_Titel :
Global Telecommunications Conference, 1991. GLOBECOM '91. 'Countdown to the New Millennium. Featuring a Mini-Theme on: Personal Communications Services
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-87942-697-7
DOI :
10.1109/GLOCOM.1991.188358
