高级检索

融合到达角的粒子滤波寻源方法研究

A Particle Filter Source Finding Method Incorporating Angle of Arrival

  • 摘要: 未知放射源搜寻定位是核安检、核应急领域的重要研究课题。为提高寻源效率、适应多源环境探测,提出了一种融合到达角(AOA)的粒子滤波寻源方法。首先,构建了自主定位与AOA感知相结合的硬件平台,在搜寻过程中给探测器引入了位置和角度信息;其次,在粒子滤波基础上考虑AOA信息,动态收缩放射源搜寻区域,进而提高搜寻效率;最后,在自主寻源路径规划中采用AOA引导的机器人姿态调整,增强机器人寻源的灵活度。实验证明此方法可正确有效工作,放射源校验测试证明该方法也适用于多源搜寻。

     

    Abstract: The search and localization of unknown radiation sources is an important research topic in the fields of nuclear security inspection and nuclear emergency response. In order to improve the efficiency of source detection and adapt to multi-source environments, a particle filtering method with the Angle of Arrival (AOA) detection is proposed. Firstly, a hardware platform supporting autonomous positioning and AOA sensing is constructed, incorporating detection position and angle information into the search process; secondly, by incorporating AOA information into the particle filtering process, the search area can be dynamically concentrated, significantly reducing computational complexity; finally, the use of AOA to adjust the robot's posture enhances the flexibility of autonomous search path planning. Experiments have shown that this method functions correctly and effectively, and verification with radiation source detection confirms its suitability for searching multiple sources.

     

/

返回文章
返回