计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
11期
91-95
,共5页
胡伟娅%陆佳亮%伍民友
鬍偉婭%陸佳亮%伍民友
호위아%륙가량%오민우
接收信号强度指示%惯性测量%无线传感器%扩展性的卡尔曼滤波%自适应步长
接收信號彊度指示%慣性測量%無線傳感器%擴展性的卡爾曼濾波%自適應步長
접수신호강도지시%관성측량%무선전감기%확전성적잡이만려파%자괄응보장
Received Signal Strength Indicator(RSSI)%Inertial Measurement%wireless sensor%extended Kalman filtering%adaptive step length
介绍融合接收信号强度指示(RSSI)和惯性测量技术的无线传感器室内定位系统，该系统通过可穿戴式无线传感器节点和环境辅助传感器节点，采集步行者的位置信息。可穿戴式节点采用Dead Reckoning惯性测量方法，存在累积误差，可通过在室内环境中布置RSSI节点矫正步行者的位置信息。采用扩展性的卡尔曼滤波算法将惯性测量与RSSI测量数据相结合，实现自适应的步长算法，较大程度改进步长不正确读取带来的误差。实验结果表明，与纯粹的惯性测量系统相比，该系统能提高66.3%的精确度。
介紹融閤接收信號彊度指示(RSSI)和慣性測量技術的無線傳感器室內定位繫統，該繫統通過可穿戴式無線傳感器節點和環境輔助傳感器節點，採集步行者的位置信息。可穿戴式節點採用Dead Reckoning慣性測量方法，存在纍積誤差，可通過在室內環境中佈置RSSI節點矯正步行者的位置信息。採用擴展性的卡爾曼濾波算法將慣性測量與RSSI測量數據相結閤，實現自適應的步長算法，較大程度改進步長不正確讀取帶來的誤差。實驗結果錶明，與純粹的慣性測量繫統相比，該繫統能提高66.3%的精確度。
개소융합접수신호강도지시(RSSI)화관성측량기술적무선전감기실내정위계통，해계통통과가천대식무선전감기절점화배경보조전감기절점，채집보행자적위치신식。가천대식절점채용Dead Reckoning관성측량방법，존재루적오차，가통과재실내배경중포치RSSI절점교정보행자적위치신식。채용확전성적잡이만려파산법장관성측량여RSSI측량수거상결합，실현자괄응적보장산법，교대정도개진보장불정학독취대래적오차。실험결과표명，여순수적관성측량계통상비，해계통능제고66.3%적정학도。
This paper introduces a wireless sensor tracking system for personal indoor positioning based on Received Signal Strength Indicator(RSSI) and Dead Reckoning(DR) technology. The system is built with portable on-body sensor nodes and assisted sensor nodes deployed in the targeted indoor area. It takes a hybrid approach with pedestrian dead reckoning and radio-based localization. Real-time inertial measurements are combined with RSSI-based information, and processed with an extended Kalman filtering to be weighted in the location estimation according to their reliability. It incorporates with an adaptive step length algorithm to reduce the deviation of the measurements. Experimental results show that the system can improve the accuracy of the positioning by 66.3% compared with pure inertial dead reckoning system.
