Journal
IET COMMUNICATIONS
Volume 9, Issue 6, Pages 828-835Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-com.2014.0773
Keywords
multipath channels; fading channels; higher order statistics; phase shift keying; quadrature amplitude modulation; white noise; Gaussian noise; Gaussian channels; channel estimation; probability; signal classification; cumulant-based modulation classification technique; multipath fading channels; automatic modulation classification; signal classification field; modulation type; M-PSK; M-QAM; AMC performance; wireless channels; ideal white Gaussian noise channel; normalised fourth-order cumulant statistics; modified blind channel estimation method; received signal; multipath fading effects; channel impulse response; AMC method; correct-classification probability
Categories
Funding
- Research Center for Advanced Science and Technology, National Central University
Ask authors/readers for more resources
Automatic modulation classification (AMC) is a classical topic in the signal classification field and is often performed when the modulation type is adaptive. For typical modulation types such as M-PSK and M-QAM, the fourth-order cumulant statistics are usually used for modulation classification. Besides, it is also known that the AMC performance can be seriously degraded by the effects of multipath fading in wireless channels when compared with the ideal white Gaussian noise channel. In this study, a new modulation classification method is proposed, exploring different features of normalised fourth-order cumulant statistics for a modified blind channel estimation method in the multipath fading channel. The relationship between the cumulants of the received signal and the multipath fading effects is established to cope with the channel impulse response in the new algorithm. Simulation results show that the performance of the proposed AMC method is much improved than that of previously proposed ones in terms of the probability of correct classification.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available