基于RSSI极大似然估计定位算法的分析与实现

Analysis and Implementation of Maximum Likelihood Estimation Positioning Algorithm Based on RSSI

通过分析极大似然估计法进行求解方程未知节点位置可知,代入最后一个方程锚节点（参照锚节点）的测距误差会对极大似然估计法定位误差产生较大影响,并实现了基于RSSI的极大似然估计定位算法实测实验.实验结果表明,参照锚节点不带测距误差与参照锚节点带测距误差相比,前者的定位误差小,在30m×30m方形定位区域内前者较后者平均定位误差值减小0.4～1.0m.

When the maximum likelihood estimate equation was used to solve the unknown node＇s position,it was found that the ranging error for the anchor node（reference node）in the last equation has greater impact on the localization error.The maximum likelihood experiment based on received signal strength indication in the reality shows that in the area of 30 m×30 msquare positioning, average positioning error decreases from 0.4mto 1.0mwhen the reference node is being set without ranging error.