物联网中异常通信情形下目标跟踪算法的设计  

Design of Target Tracking Algorithm in the case of Abnormal Communication in the Fuzzy Internet of Things

作　　者：余庚[1,2] 张洁 YU Geng;ZHANG Jie(School of Guomai Information·School of Internet Economics and Business, Fujian University of Technology, Fuzhou 350007;Fuzhou Institute of Technology, Fuzhou 350506;Fujian Vocational College of Agriculture, Fuzhou 350007)

机构地区：[1]福建工程学院国脉信息学院.互联网经贸学院,福州350007 [2]福州理工学院,福州350506 [3]福建农业职业技术学院,福州350007

出　　处：《舰船电子工程》2019年第3期37-40,86,共5页Ship Electronic Engineering

基　　金：福建省教育厅中青年教师教育科研项目(编号:JT180334;JAT170802)资助

摘　　要：鉴于传统的非测距算法应用于复杂物联网络中具有较高的资源偏好度,论文构思一种在模糊物联网络中偏好度较弱的目标跟踪评估算法。该算法首先在总结传统研究方案不足的基础上设置了分布式广播机制用于优化信息域。其次将模糊物联网络的随机特征纳入算法的随机因子以缓解布局的随机性给跟踪过程的计算参数带来干扰。然后搭建模糊环境构建测试模型,考察目标跟踪算法相对于传统非测距研究的优势。并在此基础上进一步开展目标跟踪算法实施性能的测试。测试结果表明,分布式广播机制作为目标跟踪算法的优势,对目标跟踪具有良好的贡献度。此优势使得该算法具有一定的应用价值。In view of the fact that the traditional non-ranging algorithm has high resource preference in complex networks, this paper presents a target tracking and evaluation algorithm with weak preference in fuzzy networks. Firstly, the distributed broadcast mechanism is set up to optimize the information domain on the basis of summarizing the shortage of traditional research schemes. Secondly, the random feature of the fuzzy network is incorporated into the random factor of the algorithm to mitigate the randomness of the layout, which interferes with the calculation parameters of the tracking process. Then a test model in fuzzy environment is built to investigate the advantages of target tracking algorithm compared with traditional non-ranging research. On this basis, the performance of the target tracking algorithm is further tested. The test results show that the distributed broadcast mechanism is the advantage of the target tracking algorithm and has a good contribution to target tracking. This advantage makes the algorithm has certain application value.

关 键 词：偏好 信息域 目标 算法 广播 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]