摘要
现有基于发送端的误码丢包原因识别方法存在通信开销大、识别准确度不高等问题,通过理论分析发现当无线传输出现冲突丢包时,数据包在接收端的误差向量幅度(EVM)通常比弱信号丢包时大,从而验证了EVM对丢包原因的区分效果。在此基础上,提出一种基于接收端的无线局域网误码丢包原因识别方法。该方法在接收端直接读取接收信号强度及EVM值,使用贝叶斯分类方法进行冲突丢包和弱信号丢包的识别。实验结果表明,与COLLIE识别方法相比,该方法不产生任何额外的通信开销,具有较高的识别准确率、较低的误报率和漏报率。
The existing sender-based methods for identifying bit error packet loss causes have problems such as large communication costs, and low identification accuracy. After theoretically analysis, this paper finds out when collision loss occurs in wireless transmission, the Error Vector Magnitude（EVM） of packet at receiver is larger than that of weak signal loss, which also verifies the differentiating effect of EVM on causes of bit error packet loss. Then a receiver-based method for identifying the causes of bit error packet loss in Wireless Local Area Network（WLAN） is proposed. It directly reads Received Signal Strength Indicator（RSSI） and EVM values at receiver, and adopts the Bayes classification algorithm for identifying packet collision loss and signal loss. Experimental results also show that, compared with COLLIE identification method, it has no additional communication cost, accuracy of this method is increased, while fault alarm rate and miss alarm rate are decreased.
出处
《计算机工程》
CAS
CSCD
2014年第4期76-80,共5页
Computer Engineering
基金
国家自然科学基金资助项目(61173168)
湖南省科技计划基金资助项目(2011FJ3236
2012FJ3024)
湖南省普通高校青年骨干教师培养计划基金资助项目
中央高校基本科研业务费专项基金资助项目
关键词
IEEE
802
11标准
无线局域网
丢包
接收信号强度指示
误差向量幅度
贝叶斯分类
IEEE 802.11 standard
Wireless Local Area Network（WLAN）
packet loss
Received Signal Strength Indicator（RSSI）
ErrorVector Magnitude（EVM）
Bayes classification
