Abstract

Based on the locations of several unmanned aerial vehicles (UAVs) and the pseudo ranges to a target, a target cooperative location method is proposed in this paper. The nonlinear equation about real pseudo distance information is transformed to another equation by using Tayloy formula. By solving the above equation, position information of the target can be obtained. Meanwhile, the certain equation's variables are the measured results of pseudo distances, location errors of UAVs and distance-measuring errors of range sensors. Besides, an online enumeration method is applied to search for the best formation, whose objective is to enhance the location accuracy, and the mentioned formation is mapped to the minimal GDOP. The simulations verify the validity and adaptability of the proposed method.

Highlights

  • the pseudo ranges to a target

  • a target cooperative location method is proposed in this paper

  • The nonlinear equation about real pseudo distance in⁃ formation is transformed to another equation by using Tayloy formula

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Summary

Introduction

西北工业大学学报 Journal of Northwestern Polytechnical University https: / / doi.org / 10.1051 / jnwpu / 20193720266 摘 要:提出了一种利用多无人机与目标之间的距离以及无人机站址坐标估算目标位置的协同定位 算法。 通过一阶 Taylor 展开,把非线性距离测量方程转化为量测距离信息加上无人机的站址误差以 及测距传感器的测距误差信息方程,进而对定位方程求解,得到目标的位置。 最后利用在线枚举法寻 求最小 GDOP 值所映射的最优编队队形以提高定位精度。 计算机仿真结果验证了该算法的有效性和 适应性。 另外, 几何定位精度因子 ( geometric dilution precision,GDOP) 是衡量一个定位系统精度的重要 指标之一,其取值与各观测点之间不同的几何分布 相关[6] 。 Z0 ú ú ú z3 - z0 ú ρ3∗ ûúú éêxt - x0 ùú y

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