摘要: |
针对现有组合加权算法对定位区域边缘的目标定位时精度较低的问题,在现有组合加权算法的基础上提出了一种改进算法。首先,将基站分组,以到达时差算法得到目标位置的多个估计结果;其次,计算各估计结果之间距离值并排序,以滑动窗口法判断是否存在基站组出现异常定位估计;最后,当任意基站组的定位结果发生异常时,使用目标位置估计结果及其估计克拉美罗下界值设计两个加权步骤的权值,通过二步组合加权算法得到最终定位结果。仿真结果表明,所提算法有效减少了原组合加权算法对定位区域边缘的目标定位时的误差,当测量噪声标准差为0.8 m时,所提算法相较于原算法在正方形边缘区域定位均方根误差减小了0.35 m;在定位狭窄矩形区域时,所提算法平均定位均方根误差减小了0.11 m。 |
关键词: 室内二维定位 目标定位 到达时间差(TDOA) 组合加权算法 |
DOI:10.20079/j.issn.1001-893x.230508004 |
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基金项目:国家自然科学基金资助项目(61871203) |
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An Improved Combined Weighted TDOA Indoor 2D Location Method |
XU Wenjie,ZHANG Zhenkai |
(Ocean College,Jiangsu University of Science and Technology,Zhenjiang 212028,China) |
Abstract: |
The existing combined weighted method has low localization accuracy when the targets are located at the edge of the location area.In order to solve this problem,an improved method is proposed by taking advantage of the existing combined weighed method.Firstly,the base stations are grouped,and multiple estimation results of the target position are obtained by the time difference of arrival algorithm.Secondly,the distance values between the estimation results are calculated and sorted.The sliding window method is used to judge whether there is an abnormal positioning estimation in the base station groups.Finally, |
Key words: indoor 2D localization target localization time difference of arrival(TDOA) combined weighted method |