超声定位算法研究

Jing He, Jian Zhang, Zeji Hui
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引用次数: 1

摘要

目前,无线传感器网络(WSN)中基于超声波到达时间(TOA)的室内定位技术会由于信标节点的定位误差导致定位精度低,而基于惯性导航原理(INS)的定位方法会随着时间的推移误差增大。针对这一问题,提出了一种结合梯度下降算法和加权算法的TOA/INS混合定位算法,并通过改进超声传感器优化定位范围。在系统中,盲节点携带运动传感器感知当前的运动状态,并在单位时间内累计盲节点在各个方向上的当前位置。同时,传输超声波信号,使信标节点和控制器通过信号到达的时间差得到盲节点的当前位置。实验结果表明,该系统能有效提高定位精度,达到预期效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Ultrasonic Positioning Algorithm
At present, the indoor positioning technology based on the arrival time of ultrasonic wave (TOA) in wireless sensor network (WSN) will lead to low positioning accuracy due to the location error of the beacon node, and the positioning method based on the inertial navigation principle (INS), will increase error with time. To solve this problem, a TOA/INS hybrid location algorithm is proposed by combining the gradient descent algorithm and weighted arithmetic, and the localization range is optimized by improving the ultrasonic sensor. In the system, the blind node carries on the motion sensor to perceives the current motion state, and accumulates the current position of the blind node in each direction of the unit time. At the same time, the ultrasonic signal is transmitted, and the beacon node and the controller are enable to get the current position of the blind node by the signal arrival time difference. The experimental results show that the system can improve the positioning accuracy effectively and achieve the desired effect.
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