摘要： 针对基于接收信号强度因子(RSSI)测距中存在的问题提出一种新的测距技术，由自适应模糊神经推理系统训练的模糊推理系统建立一个模型，利用这个模型将RSSI映射为相应的收发节点的距离。将此模糊测距技术应用到基于三点定位的单目标跟踪中，仿真实验证明了该测距技术是切实可行的。
关键词:
无线传感器网络,
自适应模糊神经网络推理系统,
接收信号强度因子
Abstract: A novel distance measuring technology is proposed, which uses Fuzzy Inference System(FIS) trained by Adaptive Neural Fuzzy Inference System(ANFIS) to build the model that maps Received Signal Strength Indicator(RSSI) into the correct Transmitter and Receiver(T-R) distance. It is feasible proved by simulate experiments in which fuzzy distance measuring is planted into single target tracking based on 3-points localization.
Key words:
Wireless Sensor Networks(WSN),
Adaptive Neural Fuzzy Inference System(ANFIS),
Receiving Signal Strength Indicator(RSSI)
中图分类号:
冯秀芳;孙 超;曹美丽. 单目标跟踪中基于RSSI的模糊测距技术[J]. 计算机工程, 2009, 35(16): 170-172.
FENG Xiu-fang; SUN Chao; CAO Mei-li. Fuzzy Distance Measuring Technology Based on RSSI in Single Target Tracking[J]. Computer Engineering, 2009, 35(16): 170-172.