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作 者:魏振婷 穆平安[1] 张仁杰[1] Wei Zhenting;Mu Ping'an;Zhang Renjie(Department of Measurement Technology and Instruments of University of Shanghai for Science and Technology,Shanghai 200093,China)
出 处:《电子测量技术》2019年第23期116-122,共7页Electronic Measurement Technology
摘 要:为解决传统定位方式易受干扰、适应性差和算法复杂度高等问题,提出并实现了一种基于无线通信基站的自适应误差模型的改进Chan算法。根据一维搜索算法计算自适应误差模型参数的方法去消除非视距传播(non-line of sight,NLOS)环境测量误差,并结合改进后的Chan算法得到准确的物体三维定位坐标。同时在设计误差训练模型中结合PID(proportion integration differential)模型控制思想,对参数都采取PD设计控制步长参数,有效地加快模型收敛的速度和模型的稳定性。仿真结果表明,自适应误差模型改进Chan算法性能稳定,定位精度高,空间距离的绝对误差约为4m。In order to solve the problems of the interference,poor adaptability and high computational complexity of traditional positioning methods,an improved Chan algorithm based on adaptive error model of wireless communication base station is proposed and implemented in paper.According to the method of calculating the parameters of adaptive error model based on one-dimensional search algorithm,the measurement errors of NLOS(non-line of sight)environment are eliminated,and the accurate three-dimensional positioning coordinates of objects are obtained by combining the improved Chan algorithm.At the same time,the designed error training model is combined with the idea of PID(proportion integration differential)model control.Parameters are designed by PD to control step parameters,which effectively accelerates the convergence speed of the model and the stability of the model.The simulation results show that the improved Chan algorithm based on the adaptive error model has the stable performance,high accuracy of three-dimensional positioning,and the absolute error of spatial distance is about 4 m.
关 键 词:三维定位 无线通信基站 一维搜索 CHAN算法 自适应模型
分 类 号:TN929[电子电信—通信与信息系统]
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