移动终端的基站定位技术研究与实现

发布时间：2018-01-03 05:44

本文关键词：移动终端的基站定位技术研究与实现　出处：《大连海事大学》2016年硕士论文　论文类型：学位论文

【摘要】：智能终端的普及,使得人们可以方便的获得无线多媒体服务,对定位的需求也日益增大。因此,全球定位系统(Global Positioning System, GPS)得到了广泛的应用。然而,由于GPS在室内环境下无法定位,使得研究基于蜂窝网络的移动终端定位方法意义重大。本文首先对蜂窝网络定位方法的研究背景与选题意义进行了概述,介绍了蜂窝网络定位方法的国内外发展现状与难点。针对接收信号强度定位方法容易受环境等因素影响的问题,本文提出了一种改进的蜂窝网络加权定位算法。针对接收信号强度显示(Received Signal Strength Indication, RSSI)容易受非视距(Non Line of Sight, NLOS)与多径效应等因素影响这一不足,本文提出了半数校正法,该方法提高了定位精度。为了进一步提高定位精度,在计算移动终端位置之前,剔除相同基站与孤立点。然后本文提出了WSS定位算法、IW定位算法以及DC定位算法。在实验室,按照清晨、下午以及晚上三个不同的时段对包括迭代加权质心定位算法在内的四种定位算法进行了验证,并且对它们进行了分析、比较。实验结果表明,就平均定位精度而言,迭代加权质心定位算法是240m左右,IW算法高于本文提出的另外两种算法且均高于前者,并且均达到了当前百度地图、腾讯地图LBS开放平台提供的基于基站的240m与150～800m的平均定位精度,四种定位算法受时段因素影响均较小。随机选取若干个不同的真实场景在三个相同的时段对四种定位算法进行了测试,测试结果与验证结果相符,并且设计实现了一个基站定位系统,其平均定位精度是170m左右,在一些复杂的室内并且没有Wi-Fi (Wireless Fidelity)的环境下,具有一定的实际意义。最后,系统考虑了许多可能情况,这使得其鲁棒性良好。
[Abstract]:With the popularity of intelligent terminals, people can easily obtain wireless multimedia services, and the demand for location is increasing. GPS (Global Positioning system) has been widely used. However, GPS can not be located in indoor environment. It is of great significance to study mobile terminal location method based on cellular network. Firstly, this paper summarizes the research background and topic significance of cellular network location method. This paper introduces the development and difficulties of cellular network localization methods at home and abroad, aiming at the problem that the location method of received signal intensity is easily affected by environment and other factors. In this paper, an improved weighted location algorithm for cellular networks is proposed, which displays received Signal Strength Indication for the received signal strength. RSSI) is easy to be affected by the factors such as non Line of Sight (NLOS) and multipath effect. In this paper, a half correction method is proposed. In order to further improve the positioning accuracy, the same base station and outlier are eliminated before the mobile terminal position is calculated. Then the WSS localization algorithm is proposed in this paper. IW localization algorithm and DC localization algorithm. In the laboratory, four localization algorithms, including iterative weighted centroid localization algorithm, are validated according to three different periods in the morning, afternoon and evening. The experimental results show that the iterative weighted centroid localization algorithm is about 240 m in terms of average positioning accuracy. IW algorithm is higher than the other two algorithms proposed in this paper and both are higher than the former, and reach the current Baidu map. Tencent Map LBS provides an average positioning accuracy of 240m and 150m based on base stations. Four localization algorithms are less affected by the time factors. Random selection of a number of different real scene in the three same period of time to test the four localization algorithms, the test results are consistent with the verification results. And a base station positioning system is designed and implemented. The average positioning accuracy is about 170 m. In some complex indoor and no Wi-Fi Wireless Fidelity) environment, there is a certain practical significance. Finally, the system considered a number of possible situations. This makes its robustness good.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN929.5

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