摘要
基于RSSI测距的定位技术受到环境的温度、湿度、障碍物、背景噪声、天线增益等条件变化影响。最大限度剔除误差成为有效提高定位精度的关键。该文对基于RSSI测距的定位技术进行详细分析,分别在测距阶段和计算阶段针对不同问题提出解决方法。在测距阶段,提出了一种"基于排序去粗差统计定位模型"。选择对数正态阴影模型,设计仿真模拟实验,与统计均值模型进行对比试验,验证所提模型对提高传统定位算法精度具有一定作用。
Location technology based on RSSI is affected by the environment temperature,humidity,obstacles,background noise,antenna gain and other conditions.Maximize the removal of the error has become the key to effectively improve the po sitioning accuracy.To conduct a detailed analysis of RSSI-based positioning technology in the distance measurement phase and the calculation phase for different problem solution,In the distance measurement stage.Proposed a "remove gross error sta tistics positioning model based on the sort".Select the log-normal shadow model,the design of simulation experiments.Com parison tests,the statistical mean model,validate the proposed model to improve the accuracy of the traditional positioning algo rithms.
出处
《电脑知识与技术（过刊）》
2012年第11X期7807-7808,共2页
Computer Knowledge and Technology
关键词
RSSI测距
定位技术
定位模型
RSSI ranging
positioning technology
positioning model
