Title :
A new algorithm for QAM signal classification in AWGN channels
Author :
Drumright, Thomas A. ; Ding, Zhi
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
A method for quadrature amplitude modulation (QAM) constellation classification is proposed by exploiting the phase information of noisy characteristic functions. This method of classification is theoretically and asymptotically invariant to the presence of additive white Gaussian noise, thus allowing for lower classification error. A simple yet effective method for extracting phase information from the characteristic function is presented. This QAM classifier, tested against a known fourth order cumulant method, is shown to be very effective at moderate SNR. It also shows some desirable traits that enable it to be complementary to the cumulant algorithm.
Keywords :
AWGN channels; phase estimation; quadrature amplitude modulation; signal classification; AWGN channels; QAM; additive white Gaussian noise; classification error; constellation classification; moderate SNR; noisy characteristic functions; phase information extraction; quadrature amplitude modulation; signal classification; AWGN channels; Additive white noise; Data mining; Gaussian noise; Noise level; Pattern classification; Phase noise; Quadrature amplitude modulation; Signal to noise ratio; Testing;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1009974
