基于智能终端的多技术融合的节能定位技术的研究与实现
发布时间：2019-02-25 20:07
【摘要】：随着智能终端迅猛发展,多样化的功能和友好的人机互动,手机这一具有代表性的智能终端的电池消耗迅速。尤其基于位置的服务这一方面,广泛使用的GPS定位消耗巨大的能量,因此为了满足人们多样化的需求,节能定位的研究迫在眉睫。智能终端总体都配备有各种能耗低的内置传感器,依靠这些传感器信息和蜂窝信号强度等可以与WiFi指纹,航位推算或其他可行技术联合以提高定位和跟踪的能量效率。论文的主要工作有以下三点:1、为了将定位相关技术以合理适当的方式集成到节能的位置服务应用中,我们系统全面地提出了节能定位方案设计中的三种技术原则:替代,适应和协作。此外,分别总结和比较了室内和室外的典型定位方案在这三种设计原则中的体现,以及各种方案的特征和有待提高的部分。2、对于所处的不同环境,尤其是室内和室外的区分,所采用的节能定位的方案有很大的差别。如果能遵循适应具体环境的原则,继而采取相应的定位方式,同样可以达到显著节约能量的目的。本文设计了一种多种技术融合的室内外检测节能定位方案,融合了光,磁场和蜂窝信号检测器的检测结果,并适应性地调整阈值和权值,与非适应性方案相比提高了整体检测的效率。3、为了证明提出的方法,本文在安卓设备上实现了该节能定位系统,包括三个子检测器的实现以及联合检测适应性方案实现,并以此检测结果进行合适的定位方式选择。实验表明单独依靠某个子检测的检测准确率低于联合检测的准确率,这体现了联合检测的优势。同时,适应性检测方案与原始方案相比提高了约10%的准确性。基于该室内外检测的GPS定位方式与GPS本身相比,增加了约44%的电池续航时间。
[Abstract]:With the rapid development of intelligent terminal, diversified functions and friendly man-machine interaction, the battery consumption of mobile phone, a representative intelligent terminal, is rapid. Especially in the aspect of location-based service, the widely used GPS positioning consumes a great deal of energy. Therefore, in order to meet the diverse needs of people, the research of energy-saving positioning is urgent. Intelligent terminals are equipped with a variety of low-energy built-in sensors, such as sensor information and cellular signal strength can be combined with WiFi fingerprints, dead reckoning or other feasible technologies to improve the energy efficiency of positioning and tracking. The main work of this paper is as follows: 1. In order to integrate the location-related technology into the energy-saving location service application in a reasonable and appropriate way, we systematically and comprehensively put forward three technical principles in the energy-saving positioning scheme design: substitution, Adaptation and collaboration. In addition, it summarizes and compares the embodiment of typical indoor and outdoor positioning schemes in these three design principles, as well as the characteristics of various schemes and the parts to be improved. 2, for the different environments in which they are located, In particular, the distinction between indoor and outdoor, the use of energy-saving positioning scheme has a great difference. If we can follow the principle of adapting to the specific environment, and then adopt the corresponding positioning method, we can also achieve the goal of remarkable energy saving. In this paper, an energy-saving localization scheme for indoor and outdoor detection is designed, which combines the detection results of light, magnetic field and cellular signal detectors, and adaptively adjusts the threshold and weight. Compared with the non-adaptive scheme, the overall detection efficiency is improved. 3. In order to prove the proposed method, this paper implements the energy-saving positioning system on Android devices, including the implementation of three sub-detectors and the implementation of the joint detection adaptability scheme. Based on the detection results, a suitable location method is selected. Experiments show that the detection accuracy of a single sub-detection is lower than that of joint detection, which shows the advantage of joint detection. At the same time, the accuracy of the adaptive detection scheme is improved by about 10% compared with the original scheme. The GPS location mode based on the indoor and outdoor detection increases the battery life by about 44% compared with the GPS itself.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TP212
本文编号：2430494
[Abstract]:With the rapid development of intelligent terminal, diversified functions and friendly man-machine interaction, the battery consumption of mobile phone, a representative intelligent terminal, is rapid. Especially in the aspect of location-based service, the widely used GPS positioning consumes a great deal of energy. Therefore, in order to meet the diverse needs of people, the research of energy-saving positioning is urgent. Intelligent terminals are equipped with a variety of low-energy built-in sensors, such as sensor information and cellular signal strength can be combined with WiFi fingerprints, dead reckoning or other feasible technologies to improve the energy efficiency of positioning and tracking. The main work of this paper is as follows: 1. In order to integrate the location-related technology into the energy-saving location service application in a reasonable and appropriate way, we systematically and comprehensively put forward three technical principles in the energy-saving positioning scheme design: substitution, Adaptation and collaboration. In addition, it summarizes and compares the embodiment of typical indoor and outdoor positioning schemes in these three design principles, as well as the characteristics of various schemes and the parts to be improved. 2, for the different environments in which they are located, In particular, the distinction between indoor and outdoor, the use of energy-saving positioning scheme has a great difference. If we can follow the principle of adapting to the specific environment, and then adopt the corresponding positioning method, we can also achieve the goal of remarkable energy saving. In this paper, an energy-saving localization scheme for indoor and outdoor detection is designed, which combines the detection results of light, magnetic field and cellular signal detectors, and adaptively adjusts the threshold and weight. Compared with the non-adaptive scheme, the overall detection efficiency is improved. 3. In order to prove the proposed method, this paper implements the energy-saving positioning system on Android devices, including the implementation of three sub-detectors and the implementation of the joint detection adaptability scheme. Based on the detection results, a suitable location method is selected. Experiments show that the detection accuracy of a single sub-detection is lower than that of joint detection, which shows the advantage of joint detection. At the same time, the accuracy of the adaptive detection scheme is improved by about 10% compared with the original scheme. The GPS location mode based on the indoor and outdoor detection increases the battery life by about 44% compared with the GPS itself.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TP212
【参考文献】
相关期刊论文 前3条
1 毛永毅;李明远;张宝军;;基于RBF神经网络的AOA定位算法[J];计算机应用;2008年01期
2 刘铁健;李瑞涛;吕彬;庄士东;;我国LBS产业发展的现状分析[J];测绘与空间地理信息;2006年03期
3 王昕,王宗欣,刘石;一种考虑非视线传播影响的TOA定位算法[J];通信学报;2001年03期
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