Title
Blind modulation classification over fading channels using expectation-maximization
Document Type
Article
Publication Date
10-4-2013
Abstract
We propose a blind modulation classification algorithm when the channel coefficient, the noise power and the energy of the transmitted signal are unknown at the receiver. First, under each candidate modulation scheme, we evaluate the unknown parameters using the iterative expectation maximization algorithm. Modulation classification is then accomplished by minimizing the distance between the log-likelihood of the received data and the expected log-likelihood under each candidate modulation scheme. Results are presented from simulations in terms of detection probability vs. SNR for the class of BPSK, QPSK, 16QAM and 64QAM modulation schemes. The results show a significant improvement over QHLRT and are very close to the upper bound ALRT-UB. © 1997-2012 IEEE.
Publication Source (Journal or Book title)
IEEE Communications Letters
First Page
1692
Last Page
1695
Recommended Citation
Soltanmohammadi, E., & Naraghi-Pour, M. (2013). Blind modulation classification over fading channels using expectation-maximization. IEEE Communications Letters, 17 (9), 1692-1695. https://doi.org/10.1109/LCOMM.2013.070913.130752