在对定位算法中的测距和非测距算法研究的基础上,本文提出了在改进阅读器排布的定位空间中,将最近邻居算法与Chan算法结合,进行协同定位的方法。在设定的两种小范围仿真空间中,通过均方误差(RMSE)和误差累计分布曲线(CDF)两个定位精度评价指标对改进前后的算法进行比较,在噪声较小且误差均匀分布的环境下,改进算法的定位误差可90%控制在0.4m以内。 Based on the research of ranging and non-ranging algorithm in positioning algorithm, this paper proposes a method of combining the nearest neighbor algorithm with Chan algorithm in the positioning space to improve the arrangement of readers. In two kinds of small-scale simulation space set up, the two pre-and post-improvement algorithms are compared by RMSE and CDF, and when the noise is small and the errors are evenly distributed Under the environment, the positioning error of the improved algorithm can be controlled within 0.4m by 90%.