基于GA-KF的惯性导航三维空间映射

Meléndez Díaz, J. D. dela Cruz
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引用次数: 1

摘要

航位推算模块是惯性导航系统的一种形式,它使用加速度计,陀螺仪和指南针的组合,类似于全球定位系统(GPS)。本研究将遗传算法与卡尔曼滤波的混合算法集成到航位推算模块中,以提高航位推算的精度。本研究成功地开发了一个利用加速度计、陀螺仪和罗经的实验装置,以及一个用于嵌入卡尔曼滤波和遗传算法的微控制器。同时,从实验装置和GPS中获取水下航行时的三维坐标。假定目标是使设备运行并给出系统准确的结果,测量和绘制不受干扰或障碍物影响的特定区域。根据在建筑物、墙壁、水体等障碍物存在的特定情况和环境下进行的实验,所提出的利用基于遗传算法的航位推算和卡尔曼滤波的装置可以被认为是一种具有上述障碍物的地点的地图绘制方法,精度为2米,因此具有很高的3D空间映射可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D space mapping using inertial navigation with GA-KF
Dead reckoning module is a form of inertial navigation system which uses the combination of accelerometer, gyro and compass to work similarly as Global Positioning System (GPS). This study integrates a hybrid of Genetic Algorithm and Kalman Filter to a dead reckoning module for accuracy improvement. This study successfully developed an experimental device using accelerometer, gyro and compass, and a microcontroller for embedded implementation of Kalman Filter and Genetic Algorithm. Simultaneously, a three-dimensional coordinates was taken from the experimental device and the GPS when it is navigating under water. Granted that the objective is for the device to operate and give systematic accurate results, measuring and mapping a certain area undeterred by interferences or obstructions. Based on the conducted experiments under given circumstances and environment where obstructions such as buildings, walls, body of water, the device presented that utilizes Genetic Algorithm Based Dead Reckoning and Kalman filter can be accepted as a way to map places with obstructions aforementioned with an accuracy of 2meters, therefore presenting the high possibility of 3D Space Mapping.
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