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基于RSSI变化序列的MAC地址与目标匹配方法
引用本文:张良,郝凯锋.基于RSSI变化序列的MAC地址与目标匹配方法[J].系统仿真学报,2020,32(1):113-121.
作者姓名:张良  郝凯锋
作者单位:中国民航大学智能信号与图像处理天津市重点实验室,天津 300300
基金项目:国家自然科学基金(61179045)
摘    要:获得真实人物与所持通信设备MAC (Media Access Control)地址的联系对公共和网络安全有重大价值。针对现有方法的不足提出了更好的解决方法。方法布置多个Wi-Fi探针获取通信设备的MAC和实时RSSI (Received Signal Strength Indication)状态变化,构建RSSI状态变化序列;利用目标跟踪获取目标相对多个Wi-Fi探针的距离,构建距离状态变化序列;对2类状态变化序列进行匹配,选取最优匹配对作为目标与所携通信设备MAC地址匹配的结果。实验表明,该方法相比其他方法通用性更强,准确率更高。

关 键 词:MAC地址匹配  目标跟踪  RSSI(ReceivedSignalStrengthIndication)  卡尔曼滤波  
收稿时间:2017-10-25

Matching between MAC Address and Object Based on RSSI Change Sequence
Zhang Liang,Hao Kaifeng.Matching between MAC Address and Object Based on RSSI Change Sequence[J].Journal of System Simulation,2020,32(1):113-121.
Authors:Zhang Liang  Hao Kaifeng
Institution:Tianjin Key Lab of Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
Abstract:The connection between real people and the MAC of the communications device is of high value to public and network security. A better solution was proposed to improve the existing methods. MAC and real-time RSSI changes of the communication device were obtained by multiple Wi-Fi probes, then the RSSI status change sequence was constructed. The distance between object and multiple Wi-Fi probes was obtained by the object tracking, and the sequence of distance state change was constructed. After two kinds of sequences were compared, the optimal result was selected as the matching result between the moving object and the MAC of the mobile device. Experiments demonstrate that the method is more versatile and more accurate than other methods.
Keywords:MAC address matching  object tracking  RSSI(Received Signal Strength Indication)  Kalman filter
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