RSSI Indoor Localization through a Bayesian Strategy
A method to locate the position of the user in an indoor environment employing Bayesian theory is presented in this paper.A detailed analysis of the positional accuracy is carried out evaluating effects of two major degradation factors namely the measurement and calculation errors.The proposed technique makes use of the Gaussian distribution of random data in indoor Zigbee propagation model based on received signal strength indicator(RSSI)and the triangular positioning algorithm,maximum likelihood estimation(MLE)and Bayesian theory.It identifies the users location calculating the maximum probability point.The proposed method offers high accuracy levels with a mean error of 0.1363m as compared to the mean error values of 1.4059m and 0.4291m for the triangular localization and triangular localization with MLE methods,respectively.
Radio propagation Zigbee Bayesian theorem RSSI MLE Gaussian distribution
Fu Zhou Kaixian Lin Aifeng Ren Dongjian Cao Zhiya Zhang Masood Ur Rehman Xiaodong Yang Akram Alomainy
School of Electronic Engineering,Xidian University,Xian,710071,China Centre for Wireless Research,University of Bedfordshire,Luton,LU1 3JU,UK School of Electronic Engineering and Computer Science,Queen Mary College University of London,E1 4NS
国际会议
重庆
英文
1975-1979
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）