基于RSSI自适应选择定位算法的研究

在基于RSSI(Received Signal Strength Indication)的Wi-Fi室内测距定位技术研究中,首先利用对数距离衰减模型进行测距,然后针对定位精度不高的问题,这里提出利用RSSI自适应选择定位算法的方法,即在定位阶段,当满足能够准确确定定位节点所在的最小区域条件时,采用加权质心定位算法,加权因子由1/d表示;当不满足条件时,采用最小二乘定位算法。实验结果表明,自适应选择算法可避免一般加权质心算法由于最小区域的错误锁定而造成的定位误差大的弊端,同时也解决了最小二乘算法在边界区域定位精度难以控制的问题,若考虑定位误差在5m以内的情况,该算法可使35m的走廊定位准确率达到85.7%,较单独采用一般加权质心算法或最小二乘法,定位精度都有较大提高。

Research on Positioning AIgorithm of Adaptive SeIection on RSSI

In the study of the positioning of Wi-Fi indoor location based on RSSI（Received Signal Strength Indication）,the model of logarithmic distance attenuation is used to measure distance.For the positioning accuracy is not high,the algorithm of adaptive selection based on RSSI has been proposed that if the minimum zone which locating nodes locate in can be determined accurately,then the weighted centroid localization algorithm can be used during the position and the expression of1 / d stands for weighted factor.The least square algorithm is taken advantage of to locate if the condition is not satisfied.