摘要
频谱感知过程中的主用户识别是目前认知无线电研究的主要问题之一。利用主用户电台信号特征,提出一种新的、实用的认知无线电主用户识别方法。通过利用小波及聚类分析对电台开机或通信模式切换时产生的瞬态信号进行分析,提出了两个特征指标用于电台的识别从而判断用户的身份。计算机仿真结果验证了该方法的可行性,并给出了下一步研究方向。
The identification of the primary user is one of the most important issue in the spectrum sensing process for the cognitive radio networks. The characteristic of the primary user＇ signal is utilized in order to bring forward a new, practical method to recognize the real users. This paper attempts to analyze the transient signal which can be generated when the radio station starts or communication module switches by utilizing the wavelet transform and clustering. In order to identify the radio station, two indicator characteristics are pointed out, which can help to determine the status of the user. The simulation results show that the method is feasible, and finally future directions are given.
出处
《电波科学学报》
EI
CSCD
北大核心
2009年第6期1119-1123,共5页
Chinese Journal of Radio Science
基金
国家高科技发展计划项目(2009AA01Z209)
国家自然科学基金资助项目(60773074)
北京市自然科学基金资助项目(4082020)
关键词
认知无线电
模仿主用户
瞬态信号
小波变换
聚类
cognitive radio
incumbent emulation
transient signal
wavelet transform
clustering
