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无线局域网同频干扰抑制关键技术研究
引用本文:徐永辉.无线局域网同频干扰抑制关键技术研究[J].测控技术,2021,40(12):64-69.
作者姓名:徐永辉
作者单位:空军工程大学信息与导航学院,陕西西安710077
基金项目:国家自然科学基金项目(61901509)
摘    要:抑制无线局域网同频干扰的关键环节是对同频干扰的检测,针对密集无线局域网环境下同频干扰严重影响用户通信质量且不易被精确检测的情况,提出一种新的无线局域网同频干扰检测方法。该方法应用了认知无线电技术,通过计算接收信号的循环功率谱,并将此循环功率谱和判决门限比较,判断是否存在同频信号即可确定当前无线局域网环境中是否有同频干扰。仿真结果表明,提出的结合了认知无线电的同频干扰检测方法相比其他检测方法更加简单且能高效地检测出无线局域网同频干扰,在较低信噪比时有不错的干扰检测能力,在无线局域网数量较多的环境中对同频干扰的检测效果更好。

关 键 词:无线局域网  同频干扰  认知无线电  循环谱密度  工作频段

Key Technology of WLAN Co-Frequency Interference Suppression
Abstract:The detection of the co-frequency interference is the key step to suppress the WLAN(Wireless Local Area Network) co-frequency interference.In view of the situation that co-frequency interference affects the communication quality seriously of users in dense WLAN environment and is difficult to be detected accurately,a new WLAN co-frequency interference detection method is proposed.This method applies cognitive radio technology,by calculating the cyclic power spectrum of the received signal,and comparing the cyclic power spectrum with the decision threshold,then judging whether there is a co-frequency signal,that is,whether co-frequency interference exists in the current WLAN environment.The simulation results show that the co-frequency interference detection method proposed combined with cognitive radio is simpler than other detection methods and can efficiently detect WLAN co-frequency interference,which has good interference detection capabilities at low signal-to-noise ratios and better detection of co-frequency interference in an environment with a large number of WLANs.
Keywords:wireless local area network(WLAN)  co-frequency interference  cognitive radio  cyclic spectrum density  working bands
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