摘要
针对在瑞利慢衰落信道下的FSK信号的调制分类问题,提出一种新的基于统计假设检验理论的调制分类算法,分别在同步和非同步条件下,由被高斯白噪声污染的FSK信号复包络导出似然函数,由此得到最优分类器.理论分析和数值仿真实验结果表明,在同步、非同步以及存在频偏条件下,此分类器可有效地解决衰落信道下的FSK信号调制分类问题.
We propose a modulation classifier for M-ary frequency-shift keying （MFSK） signals traveling over a frequency nonselective Rayleigh slow fading channel. This optimal classifier is developed for both synchronouse and asynchronous waveforms and is based on likelihood functions which are derived from the complex envelop of the received FSK signals contaminated by the additive white Gaussian noise （AWGN）. Simulation experiments under the synchronous, asynchronous and frequency offset conditions are illustrated to validate the theoretical analysis.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第1期98-102,共5页
Journal of Xidian University
关键词
调制分类
信道衰落
解调
modulation classification
fading
demodulation
