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作 者:王登亮[1] 余志勇 宋小杉 胡安翼 张发祥[1] 甄卫民[1] WANG Dengliang;YU Zhiyong;SONG Xiaoshan;HU Anyi;ZHANG Faxiang;ZHEN Weimin(China Research Institute of Radiowave Propagation,Qingdao 266107,Shandong,China;Rocket Force University of Engineering,Xi′an 710000,China;Xi′an Daheng Tiancheng IT Co.,Ltd.,Xi′an 710000,China)
机构地区:[1]中国电波传播研究所,山东青岛266107 [2]火箭军工程大学,西安710000 [3]西安大衡天成信息科技有限公司,西安710000
出 处:《智能计算机与应用》2024年第5期67-74,共8页Intelligent Computer and Applications
摘 要:随着电子、信息技术的快速发展,系统的规模和复杂性与日俱增,对多源信息融合处理的要求也越来越高,本文针对分布式无线电监测领域中所涉及的3种多源信息融合问题,分别给出了融合流程、融合方法和效果分析。其中,频谱数据采用单点时频域融合和多点时频空能四域融合方法,解决频谱结构化存取和场强推算问题;设备特征数据采用并行融合方法,解决多类设备对同一目标测量和定位结果的融合问题;侦察信息采用D-S证据理论融合方法,解决系统内部每类设备侦察信息的融合,以及与外部系统侦察信息的融合问题。通过仿真实验表明,采用以上3种融合方法可解决上述多源信息融合问题。With the rapid development of electronics and information technology,the scale and complexity of the systems have been increasing.Consequently,there is a growing demand for multi-source information fusion processing.This paper focuses on three types of multi-source information fusion problems in the field of distributed radio monitoring,which provides fusion processes,fusion methods,and performance analysis for each problem.For spectrum data,the paper employs single-point timefrequency domain fusion and multi-point time-frequency spatial energy four-domain fusion methods.These methods address the issues of structured access to spectrum data and field strength estimation.For device feature data,a parallel fusion method is used to address the fusion of measurement and localization results for multiple types of devices targeting the same object.Regarding reconnaissance information,the D-S evidence theory fusion method is utilized to address the fusion of reconnaissance information from different types of devices within the system,as well as the fusion with reconnaissance information from external systems.Simulation experiments demonstrate that the three fusion methods mentioned above can effectively address the aforementioned multisource information fusion problems.
关 键 词:多源信息融合 分布式无线电监测 频谱结构化 D-S证据理论
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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