摘要
在基于接收信号强度的室内定位中,未知的发射功率会降低网络的定位性能。为了解决这一问题,根据室内环境中接收信号强度的特性,提出了一种新的的室内定位优化算法。该算法将发射功率表示成一个未知变量,通过将公式中的非线性项进行线性逼近,将非线性的定位问题转化为一个线性优化问题,并采用最小二乘法求出目标节点的坐标。仿真和实验结果表明,在发射功率未知的情况下,提出算法要明显优于传统的定位算法,具有很好的定位性能。
Unknown transmission power is to degrade the accuracy of positioning in received signal strength-based in-door localization. To solve this problem,we propose a novel localization algorithm based on received signal strengthindicator gathered from real indoor environment. The proposed algorithm regards transmission power as nuisance pa-rameters estimated along with source locations and transforms the traditionally nonlinear localization problem into alinear optimization problem using linear approximation which can be solved very efficiently. We apply the leastsquares to solve the corresponding localization problem. Simulation and experimental results show that the proposedalgorithm achieves high performance compared to traditional algorithms when the transmission power is unknown.
出处
《传感技术学报》
CAS
CSCD
北大核心
2016年第6期915-919,共5页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金面上项目(61172089)
中央国有资本经营预算支出项目(财企[2013]470号)
博士后基金面上项目(2014M562100)
湖南省科技厅项目(2014WK3001)
关键词
无线传感网络
定位
接收信号强度
发射功率
wireless Sensor network
localization
received signal strength
transmission power
