CAJ | 학술논문

针对无线传感器网络应用于室内定位时,传统RSSI平均值算法精度较低的问题,提出了一种改进的RSSI算法。该算法利用RSSI平均值对所测量的每个RSSI值进行估量,消除波动大、严重失真数据,从而使所保留的RSSI值能更好的与距离关系对应。并根据室内不同位置的节点环境参数差别大的特征,提出了把信标节点间的固定距离及其测量得到的对应RSSI值带入信号传输模型,从而消除环境因素对距离估计的影响。仿真结果表明：改进RSSI算法与传统的平均值距离估计算法比较,距离估计误差明显降低,可以满足室内定位精度的要求。
침대무선전감기망락응용우실내정위시,전통RSSI평균치산법정도교저적문제,제출료일충개진적RSSI산법。해산법이용RSSI평균치대소측량적매개RSSI치진행고량,소제파동대、엄중실진수거,종이사소보류적RSSI치능경호적여거리관계대응。병근거실내불동위치적절점배경삼수차별대적특정,제출료파신표절점간적고정거리급기측량득도적대응RSSI치대입신호전수모형,종이소제배경인소대거리고계적영향。방진결과표명：개진RSSI산법여전통적평균치거리고계산법비교,거리고계오차명현강저,가이만족실내정위정도적요구。
Aiming at the problem of low accuracy of traditional RSSI average algorithm used in Wireless sensor network indoor positioning,this paper proposes an improved RSSI algorithm.The algorithm uses the RSSI average to estimate each measured RSSI value and eliminate the volatile and serious distortion date,so the retained RSSI value can be better corresponded with the distance relationship.Also,according to the characteristics of large differences in environmental parameters of indoor nodes in different locations,the fixed distance between the beacon nodes and the measured corresponding RSSI value were introduced into the signal transmission model,thus the influences of environmental factors on distance estimate can be eliminated.Simulation results show that the improved RSSI algorithm,comparing with the traditional average distance estimation algorithm can reduce distance estimation error significantly and meet the requirements of Indoor positioning accuracy.