Joint Signal Detection and Classification Based on Cyclostationarity for Cognitive Radios

摘要：

Joint detection and automatic modulation classification (AMC) of very low SNR signals with relaxed a priori information has been of significant importance for cognitive radios as it enables the cognitive radio (CR) to react and adapt to the changes in its radio environment. This paper propose an algorithm based on first-order and second-order cyclostationarity for joint detection and classification of frequency shift keying (FSK), minimum shift keying (MSK), and pulse amplitude modulation (PAM) signals. The proposed algorithm has the advantage that it avoids the need for timing and frequency recovery, and estimation of signal and noise powers. Simulations are given to verify the performance of the algorithm.

关键词： detection classification cyclostationarity cognitive radio

作者: Hongbo Yuan Zhao Jin

作者单位: First Aeronautical College of the Air Force XinYang, China Institute of Information Engineering, Zhengzhou University Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 509-513

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）