无线电磁频谱监测系统中定位跟踪模块的设计与实现

发布时间：2018-05-24 00:45

本文选题：无线传感器网络 + 定位跟踪　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：无线电磁作为无线通信中信息的载体，在当今无线电技术和业务飞速发展的背景下，变得越来越稀缺和珍贵，各种基于无线频谱应用的信息化进程正呈现井喷式的发展。因此对无线电磁频谱进行有效和高效的管理和分配，提高频谱的利用率，已经成为业界研究和探讨的热门课题。本论文以国家科技重大专项“传感器网络电磁频谱监测关键技术研究”项目为背景，，设计并实现了用于无线电磁频谱监测的任务管理中心软件系统。本文首先从电磁频谱监测网络的拓扑结构和网络架构，TCP/IP协议栈中应用层协议和软件系统架构等方面对本系统进行了详细的分析和设计。然后设计并实现了本系统中一个重要的业务模块—定位跟踪模块。通过分析和设计定位算法，定位跟踪流程和协议以及数据的处理，实现了对未知信号源的定位跟踪功能。其中定位跟踪算法包括TDOA和RSSI两种，保证了定位结果的准确性和有效性，定位过程中的两次节点推荐算法提高了定位的效率。最后在真实的频谱监测网络中，对系统进行了功能和性能两方面的测试。具体分析了定位跟踪的误差，定位的效率以及跟踪的吞吐率。结果表明，系统完全达到了定位跟踪的目标。
[Abstract]:As the carrier of information in wireless communication, wireless electromagnetic is becoming more and more scarce and precious under the background of the rapid development of radio technology and services. Various information processes based on wireless spectrum applications are showing blowout development. Therefore, the effective and efficient management and allocation of wireless electromagnetic spectrum and the improvement of spectrum efficiency have become a hot topic in the field of research and discussion. In this paper, a task management center software system for wireless electromagnetic spectrum monitoring is designed and implemented under the background of the project "Research on key Technologies of electromagnetic Spectrum Monitoring in Sensor Networks", which is a major national science and technology project. In this paper, the topology of the electromagnetic spectrum monitoring network and the application layer protocol and software system architecture in the TCP / IP stack are analyzed and designed in detail. Then we design and implement an important business module in this system-positioning and tracking module. By analyzing and designing the localization algorithm, locating and tracking flow and protocol, and data processing, the function of locating and tracking unknown signal sources is realized. The localization and tracking algorithms include TDOA and RSSI, which ensure the accuracy and effectiveness of the localization results. The two-node recommendation algorithm in the localization process improves the efficiency of location. Finally, the function and performance of the system are tested in the real spectrum monitoring network. The error, efficiency and throughput of tracking are analyzed in detail. The results show that the system can reach the target of location and tracking.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN98

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