This paper proposed a two-point coordinated positioning algorithm. Based on the assumption that the distance between two points was constant, a fusion algorithm was introduced into the positioning process to enhance the positioning accuracy. The simulation results showed that the proposed algorithm could reduce the RMS error to about 50% of the improved sinc interpolation-based positioning algorithm when the sampling frequency was 500 MHz and the interpolation number was 19.

中文翻译：

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基于两点坐标的机器人小范围高精度定位

本文提出了一种两点协调定位算法。基于两点间距离不变的假设，在定位过程中引入融合算法以提高定位精度。仿真结果表明，当采样频率为500 MHz，插值次数为19时，所提算法的均方根误差可以降低到基于改进sinc插值的定位算法的50%左右。