针对在室内复杂环境中采用单一参数比如信号到达时间(Time of Arrival,TOA)或接收信号强度(Received Signal Strength,RSS)等定位精度低的问题,提出一种TOA/RSS混合定位算法。TOA定位精度高,但对信号带宽和信道条件比较敏感;而RSS对可...针对在室内复杂环境中采用单一参数比如信号到达时间(Time of Arrival,TOA)或接收信号强度(Received Signal Strength,RSS)等定位精度低的问题,提出一种TOA/RSS混合定位算法。TOA定位精度高,但对信号带宽和信道条件比较敏感;而RSS对可用带宽的敏感性较低,并且已包含室内环境信息,结合两种参数定位时的特点提出了TOA/RSS混合定位算法,通过约束条件和二步最小二乘法将定位区域进一步缩小,估计出移动终端的位置。仿真结果表明,在不提高算法复杂度的前提下,本文所提出的算法比单独使用TOA或者RSS定位具有更好的精度和鲁棒性。展开更多
An indoor positioning system( IPS) is designed to realize positioning and tracking of mobile targets,by taking advantages of both the visible light communication( VLC) and inertial measurement unit( IMU). The platform...An indoor positioning system( IPS) is designed to realize positioning and tracking of mobile targets,by taking advantages of both the visible light communication( VLC) and inertial measurement unit( IMU). The platform of the IPS is designed,which consists of the light-emitting diode( LED)based transmitter,the receiver and the positioning server. To reduce the impact caused by measurement errors,both inertial sensing data and the received signal strength( RSS) from the VLC are calibrated. Then,a practical propagation model is established to obtain the distance between the transmitter and the receiver from the RSS measurements. Furthermore,a hybrid positioning algorithm is proposed by using the adaptive Kalman filter( AKF) and the weighted least squares( WLS)trilateration to estimate the positions of the mobile targets.Experimental results show that the developed IPS using the proposed hybrid positioning algorithm can extend the localization area of VLC,mitigate the IMU drifts and improve the positioning accuracy of mobile targets.展开更多
文摘针对在室内复杂环境中采用单一参数比如信号到达时间(Time of Arrival,TOA)或接收信号强度(Received Signal Strength,RSS)等定位精度低的问题,提出一种TOA/RSS混合定位算法。TOA定位精度高,但对信号带宽和信道条件比较敏感;而RSS对可用带宽的敏感性较低,并且已包含室内环境信息,结合两种参数定位时的特点提出了TOA/RSS混合定位算法,通过约束条件和二步最小二乘法将定位区域进一步缩小,估计出移动终端的位置。仿真结果表明,在不提高算法复杂度的前提下,本文所提出的算法比单独使用TOA或者RSS定位具有更好的精度和鲁棒性。
基金The National Natural Science Foundation of China(No.61741102,61471164,61601122)the Fundamental Research Funds for the Central Universities(No.SJLX_160040)
文摘An indoor positioning system( IPS) is designed to realize positioning and tracking of mobile targets,by taking advantages of both the visible light communication( VLC) and inertial measurement unit( IMU). The platform of the IPS is designed,which consists of the light-emitting diode( LED)based transmitter,the receiver and the positioning server. To reduce the impact caused by measurement errors,both inertial sensing data and the received signal strength( RSS) from the VLC are calibrated. Then,a practical propagation model is established to obtain the distance between the transmitter and the receiver from the RSS measurements. Furthermore,a hybrid positioning algorithm is proposed by using the adaptive Kalman filter( AKF) and the weighted least squares( WLS)trilateration to estimate the positions of the mobile targets.Experimental results show that the developed IPS using the proposed hybrid positioning algorithm can extend the localization area of VLC,mitigate the IMU drifts and improve the positioning accuracy of mobile targets.
