基于RSSI测距滤波优化的加权质心定位算法

Weighted centroid localization algorithm based on RSSI ranging filter optimization

在基于接收信号强度RSSI(received signal strength index)测距定位算法中,RSSI的测距误差直接影响着定位精度。为此,提出基于RSSI滤波优化的加权质心定位算法(weighted centroid localization algorithm based on Gaussian filter RSSI,WC-RSSI)。利用最小二乘法测量信号传输环境的参数,通过高斯滤波摒弃劣质的RSSI值,优化RSSI值,通过测距模型将RSSI值转换成距离,引用加权质心定位算法计算节点位置,实现节点定位。仿真结果表明,利用最小二乘法的环境参数估计误差低于2.5%,与传统的质心定位算法相比,WC-RSSI算法的均方定位误差得到有效地下降。

In received signal strength index（RSSI）-based ranging localization algorithm,the measurement error of RSSI-based ranging plays key role on localization precision.Therefore,weighted centroid localization algorithm based on Gaussian filter RSSI（WC-RSSI）was proposed.Environmental parameters were estimated using least squares method,the poor RSSI values were abandoned and RSSI values were optimized using Gaussian filter.The RSSI values were converted into distance using measurement model,and the unknown node coordinates were calculated using weighted centroid localization.Simulation results show that the relative error of environment parameter estimation is less than 2.5%,and the precision of WC-RSSI algorithm is greatly improved than that of the centroid localization algorithm.