摘要
随着无线通信技术的飞速发展，致使频谱资源日趋紧张，认知无线电技术被认为是解决频谱资源紧缺的有效方法，频谱检测是其重要的环节。首先对常规能量检测法进行分析，指出其易受噪声不确定性的影响，对此提出了基于小波变换的多分辨率能量检测算法，理论分析及仿真结果表明，改进算法能很好地抑制噪声不确定性的影响，满足低信噪比条件的频谱检测要求。
With the rapid development of the wireless communications technology, radio spectrum has become a kind of scare resources. Cognitive radio （CR） technology is being recognized as an efficient method in dealing with the scare spectrum resource and spectrum detection is one of the important steps in CR. According to a brief analysis of the traditional energy detection algorithms which would reduce the detection probability due to the influence of the uncertain noise, the multi-resolution spectrum detection algorithm based wavelet transform is proposed in this paper. Theory analysis and simulation results have shown that novel algorithm can restrain the influence of the uncertain noise,and achieved the detection desired basically in the low SNR.
出处
《装备指挥技术学院学报》
2011年第6期81-85,共5页
Journal of the Academy of Equipment Command & Technology
基金
部委级资助项目
关键词
认知无线电
能量检测
小波变换
多分辨率能量检测
cognitive radio
energy detection
wavelet transform
multi-resolution spectrum detection
