摘要
室内定位技术中,现有抗非视距误差的算法需要利用NLOS先验信息或统计特性。为了克服这一缺点,提出了一种低复杂度的几何面积判决鉴别算法。通过利用几何面积判决鉴别算法的判决结果,推导出一种Taylor级数抑制NLOS误差的室内定位算法。仿真试验表明,与传统室内定位抗非视距误差的算法相比,该算法定位精度高,收敛速度快,有较好的抗NLOS性能。
The existing of NLOS discriminating algorithm demand prior information or statistics characteristic of N LOS error,the text proposes a new geometry area discriminating algorithm in order to overcome this weakness. Its complication is low. Adopting the signal strength pass loss model directly and making use of the Taylor series to deduce a new indoor location algorithm. Comparisons of performance with traditional Taylor series algorithm is made, the algorithm contains better anti- NLOS characteristic,accuracy of the proposed algorithm is higher and the convergence is faster.
出处
《现代电子技术》
2009年第13期59-62,共4页
Modern Electronics Technique
