Exploitation of First-Order Cyclostationarity for Joint Signal Detection and Classification in Cognitive Radio

被引：0
|
作者：
Dobre, O. A. [1 ]
Rajan, S. [2 ]
Inkol, R. [2 ]
机构：
[1] Mem Univ Newfoundland, St John, NF A1B 3X5, Canada
[2] Def Res & Dev Canada, Ottawa, ON K1A 0Z4, Canada
来源：
68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The sensing of the radio frequency (RF) environment is a fundamental concept of cognitive radio (CR). It follows that the detection and classification of very low signal-to-noise ratio signals with relaxed a priori information on signal parameters is a problem of considerable relevance to CR. This paper proposes an algorithm based on first-order cyclostationarity for joint detection and classification of frequency-shift-keying (FSK) signals. This algorithm does not require timing and frequency recovery, and estimation of signal and noise powers. The theoretical analysis of the algorithm performance is validated by simulation results.
引用
收藏
页码：1257 / 1261
页数：5
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