CAJ | 학술논문

在建筑物内人员定位系统中，严重的多径和非视距现象造成测距误差较大，采取措施降低测距误差对定位精度的影响是建筑物内人员定位的重要问题，本文阐述了利用ZigBee技术架构无线定位系统，以三边测量法和基于测距的RSSI值算法作为定位算法，加入卡尔曼滤波进行优化，充分利用了卡尔曼滤波的预测功能在预测方程中引入新的因子，使误差减小，最终得到更精准的定位信息。
재건축물내인원정위계통중，엄중적다경화비시거현상조성측거오차교대，채취조시강저측거오차대정위정도적영향시건축물내인원정위적중요문제，본문천술료이용ZigBee기술가구무선정위계통，이삼변측량법화기우측거적RSSI치산법작위정위산법，가입잡이만려파진행우화，충분이용료잡이만려파적예측공능재예측방정중인입신적인자，사오차감소，최종득도경정준적정위신식。
In the building personnel positioning system, serious multipath and ranging error caused by non-line-of-sight phenomenon is bigger, take measures to reduce the influence of the ranging error on localization accuracy is one of the important issues within the building personnel positioning, wireless positioning system using zigee tech-nology architecture, now with the trilateral measurement method and algorithm based on distance measuring RSSI value as a localization algorithm, to join the Kalman filter is optimized, make full use of the prediction of the Kal-man filter Introducing a new factor in the prediction equation, reduce error, finally get a more accurate location in-formation.