摘要
目前多种无线通信技术共享2.4GHz ISM频段,它们之间的相互干扰以及频谱重叠现象已成为人们非常关注的一个问题。文中将认知无线电技术应用到ZigBee网络通信中,针对2.4GHz频段,利用认知无线电的频谱感知功能,对信道状态进行检测,搜寻频谱空穴,并且对频谱进行长期感知和统计,使ZigBee用户选择最可能空闲的频段作为传输信道,同时提出了一个2.4GHz无线环境感知模型。该方法提高了ISM频段的频谱利用率,并且减少了同频段其他多种无线通信技术对ZigBee产生的干扰,保证了ZigBee信号的有效传输。
At present, many wireless communication technologies shared the 2.4GHz ISM band, but it has to face mutual interference and spectral overlap. People pay great attention to this problem. In this thesis, cognitive radio technology is applied to the ZigBee net- work. For the 2.4GHz band, the spectrum sensing capabilities of cognitive radio can be used to detect the channel status and statistics, to search spectrum holes, allowing ZigBee users to take up spectrum space always free as their transmission channels. At the same time, a 2.4GHz band perceptual model is proposed. This method will improve the spectrum utilization in ISM band, reduce co-frequency in- terference generated by other wireless technology, and then assure effectiveness of ZigBee wireless transmission.
出处
《计算机技术与发展》
2012年第8期241-244,共4页
Computer Technology and Development
基金
江苏省科技支撑项目(BE2009157)
教育部广东省产学研结合项目(2010B090400168)
