基于CC2530的室内定位系统的设计与实现

发布时间：2018-05-22 07:20

本文选题：无线传感器网络 + CC2530　；参考：《湖北工业大学》2015年硕士论文

【摘要】：随着近年来无线传感器网络(WSN)蓬勃的发展,WSN现在已经可以应用拓展至不同的领域,如智慧住宅、环境监测、人体监测、生态监测、土石流监测等多方领域。然而,监测结果的成效与传感器节点所在位置正确与否有着密不可分的关系,所以传感器节点定位研究必将成为重要的研究方向。首先,本文对当前主流的WSN定位技术与发展趋势作了简单介绍。比较了几种常见的室内无线定位技术后,根据Zig Bee技术低功耗、组网能力强、高速率等优点,选择了Zig Bee作为本定位系统的技术支撑。其次,本文探讨了基于RSSI定位的基本原理和关键技术。主要介绍了WSN定位中主要的测距技术和基于测距的常用定位算法,简单概括了当前的RSSI滤波算法。在前人研究的算法基础上,选用了改进的交点加权质心定位算法,并在MATLAB上对算法进行了精度和误差分析。最后,本文详细介绍了基于CC2530定位系统平台的搭建。阐述了定位平台搭建过程的硬件设计和软件设计步骤,定位平台在下位机自主定位基础上加入了上位机辅助定位方法,将VB接收到的下位机数据传递给MATLAB编写的定位算法参与定位,降低了定位算法程序编写的复杂性,提高了系统环境适应性、对算法的处理能力和定位精度。可以在不同的室内环境下很方便的修改上位机定位算法,提高了系统的环境适应能力。选用Wi Fi信号干扰比较小的26号信道,对系统的定位性能做了实验测试与分析,实验结果表明本室内定位系统的定位误差在10%以内,相对于CC2431定位系统具有较高的定位精度。然后对全文介绍进行了总结并对后续的研究方向进行了展望。
[Abstract]:With the rapid development of WSNs in recent years, WSN can be applied to many fields, such as intelligent residence, environmental monitoring, human body monitoring, ecological monitoring, earth and rock flow monitoring and so on. However, the effectiveness of monitoring results is closely related to the location of sensor nodes, so the research of sensor node location will become an important research direction. First of all, this paper briefly introduces the current mainstream WSN positioning technology and development trend. After comparing several common indoor wireless positioning technologies, according to the advantages of Zig Bee technology, such as low power consumption, strong networking ability and high speed, Zig Bee is selected as the technical support of this positioning system. Secondly, this paper discusses the basic principle and key technology of positioning based on RSSI. This paper mainly introduces the main ranging techniques in WSN location and the common location algorithms based on ranging, and summarizes the current RSSI filtering algorithms. Based on the previous algorithms, the improved intersection weighted centroid location algorithm is selected, and the accuracy and error of the algorithm are analyzed on MATLAB. Finally, this paper introduces the construction of CC2530-based positioning system platform in detail. The hardware design and software design of the positioning platform are described, and the auxiliary positioning method of the upper computer is added to the positioning platform on the basis of the autonomous positioning of the lower computer. The location algorithm written by MATLAB is transferred to the lower computer data received by VB, which reduces the complexity of the programming of the localization algorithm, improves the adaptability of the system environment, and the processing ability and positioning accuracy of the algorithm. It is easy to modify the host computer location algorithm in different indoor environment, and improve the adaptability of the system. In this paper, the location performance of the system is tested and analyzed by using the channel 26, which has less than WiFi interference. The experimental results show that the positioning error of the indoor positioning system is less than 10%, which is higher than that of the CC2431 positioning system. Then the full text of the introduction is summarized and the future research direction is prospected.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN92

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