By Topic

A new algorithm for QAM signal classification in AWGN channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Drumright, T.A. ; Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA ; Zhi Ding

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.

Published in:

Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:1 )

Date of Conference:

2002