卡尔曼滤波辅助球面交会超宽带定位

Bo Huang, Sumin Tang, Yong Feng
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引用次数: 1

摘要

采用球面交会(SX)算法实现了基于到达时差的超宽带定位。在实现三基站二维UWB定位的具体场景中,求解标签位置方程时,SX会有两个正根。根据SX给出的传统选根算法,定位时会出现选根镜像的问题,标签定位结果会出现错误。在这种情况下,使用卡尔曼滤波算法根据之前的标签位置信息来预测标签的当前位置。SX在选择根的过程中,以卡尔曼滤波器预测的标签位置作为参考,对根进行正确的选择,并得到标签的正确位置坐标。仿真结果表明,该算法有效地解决了传统SX算法的根选择问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kalman Filter Assisted Spherical Intersection Ultra-Wideband Positioning
Spherical intersection (SX) algorithm is used in Ultra Wide Band positioning based on Time Difference of Arrival. In the specific scene of realizing three base station two-dimensional UWB positioning, SX will have two positive roots when solving the label position equation. According to the traditional root selection algorithm given by SX, the problem of root selection mirror image will occur in the positioning, and the label positioning result will be wrong. For this case, the Kalman filter algorithm is used to predict the current location of the label based on the previous label location information. SX uses the label location predicted by the Kalman filter as a reference during the root selection process, makes the correct selection of the root, and gets the correct position coordinates of the label. The simulation results prove that the algorithm effectively solves the root selection problem of traditional SX.
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