A coupled localization method for shot photoelectric sensors based on an improved bat optimization algorithm

IF 3.3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Menghao Lin, Yang Liu, Weiyi Chen, Tianle Wang, Jinda Lu, Zewei Li
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Abstract

To realize comprehensive, accurate, and real-time positioning of target objects, and to overcome the problems of insufficient positioning accuracy and susceptibility to interference that a single sensor may face in complex environments, we propose a coupled positioning method for radio photoelectric sensors based on an improved bat optimization algorithm. After extracting the laser point cloud plane of the radio photoelectric sensor, a high-precision control field is established based on it. Based on the control points in the high-precision control field of the shooting photoelectric sensor, an equation for the plane parameters of the shooting photoelectric sensor is established. The optimization objective function of the shooting photoelectric sensor plane equation is established according to the unknown parameters of the plane equation and rotation matrix. Then, the bat optimization algorithm, which is improved by introducing a second-order oscillation link, is used to optimize and solve the optimization objective function of the shooting photoelectric sensor plane equation. The calibration results of the shooting photoelectric sensor plane parameters are obtained. The power function is used to couple and fit the calibration results of the multiple plane parameters of the shooting photoelectric sensor, and the coupling positioning result of the shooting laser sensor is obtained. The positioning accuracy is improved through multi-sensor collaboration. Experiments show that this method can effectively extract the laser point cloud plane of a radio photoelectric sensor, realize its laser plane parameter calibration, and accurately locate the target in space with a strong application effect.

Abstract Image

基于改进的蝙蝠优化算法的射电光电传感器耦合定位方法
为了实现对目标对象的全面、准确、实时定位,克服单一传感器在复杂环境中可能面临的定位精度不够、易受干扰等问题,我们提出了一种基于改进的蝙蝠优化算法的无线电光电传感器耦合定位方法。提取无线电光电传感器的激光点云平面后,在此基础上建立高精度控制场。根据射电光电传感器高精度控制场中的控制点,建立射电光电传感器平面参数方程。根据平面方程的未知参数和旋转矩阵,建立射击光电传感器平面方程的优化目标函数。然后,采用引入二阶振荡环节改进的蝙蝠优化算法对射击光电传感器平面方程的优化目标函数进行优化求解。得到了射击光电传感器平面参数的校准结果。利用幂函数对射击光电传感器多个平面参数的校准结果进行耦合拟合,得到射击激光传感器的耦合定位结果。通过多传感器协作,提高了定位精度。实验表明,该方法能有效提取射电光电传感器的激光点云平面,实现其激光平面参数标定,准确定位空间目标,具有很强的应用效果。
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来源期刊
Optical and Quantum Electronics
Optical and Quantum Electronics 工程技术-工程:电子与电气
CiteScore
4.60
自引率
20.00%
发文量
810
审稿时长
3.8 months
期刊介绍: Optical and Quantum Electronics provides an international forum for the publication of original research papers, tutorial reviews and letters in such fields as optical physics, optical engineering and optoelectronics. Special issues are published on topics of current interest. Optical and Quantum Electronics is published monthly. It is concerned with the technology and physics of optical systems, components and devices, i.e., with topics such as: optical fibres; semiconductor lasers and LEDs; light detection and imaging devices; nanophotonics; photonic integration and optoelectronic integrated circuits; silicon photonics; displays; optical communications from devices to systems; materials for photonics (e.g. semiconductors, glasses, graphene); the physics and simulation of optical devices and systems; nanotechnologies in photonics (including engineered nano-structures such as photonic crystals, sub-wavelength photonic structures, metamaterials, and plasmonics); advanced quantum and optoelectronic applications (e.g. quantum computing, memory and communications, quantum sensing and quantum dots); photonic sensors and bio-sensors; Terahertz phenomena; non-linear optics and ultrafast phenomena; green photonics.
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