摘要
针对传统方法进行移动通信终端定位时,由于无线通信信道存在着噪声干扰、非视距传播、多址干扰等因素的影响,导致移动通信终端定位精准度较低的问题。提出了基于(TDOA/AOA)时间测量值的卡尔曼滤波器改进设计移动通信终端进行定位。利用卡尔曼滤波器抑制和消除TOA/TDOA测量值中NLOS误差,然后通过BP神经网络在时间更新预测阶段及测量阶段对标准的卡尔曼滤波器进行修正,将预处理的TOA测量值输入到修正后卡尔曼滤波器来实现TODA/AOA移动通信终端混合定位,最终确定移动终端的具体位置。实验结果表明,改进的卡尔曼滤波器可以提高移动通信终端定位的精度,具有良好的实用性。
In view of the traditional method for mobile terminal positioning,because there is a noise of wireless communication channel,non line-of-sight propagation,the influence of such factors as the multiple access interference,lead to the mobile communication terminal positioning precision is low. Based on( TDOA / AOA) time measuring value of Kalman filter to improve the design of mobile communication terminal positioning is proposed. On restraint and elimination to the use of kalman filter NLOS error in TOA / TDOA measurements,then by the BP neural network in time to update the forecast period and measuring phase is modified the standard Kalman filter. The pretreatment of TOA measurements revised input to the Kalman filter to realize TODA / AOA mobile communication terminal hybrid positioning,ultimately determine the location of the mobile terminal. The experimental results show that the improved Kalman filter can improve the accuracy of mobile terminal positioning,has a good practicability.
出处
《科学技术与工程》
北大核心
2016年第20期218-222,共5页
Science Technology and Engineering
基金
郑州轻工业学院博士基金(000048)资助
