【作者】 王亮；

【导师】 吴健；

【作者基本信息】 浙江大学 ， 计算机科学与技术， 2015， 硕士

【摘要】 随着各种智能移动终端在人们的生产和生活中越来越普及,人们开始更多地使用定位服务,包括行车时目的地的导航、博物馆导引、查找附近的商店等等,因此对定位服务提出了更多的要求,这不仅体现在定位服务的实时性和准确度上,还体现在定位服务的覆盖范围上,其中一个重要的部分就是对室内定位的要求。在室内,由于卫星信号易受到障碍物的阻挡再加上多径效应的影响,不可以直接使用室外定位的现有技术,因此对室内定位的研究一直是科学研究的热点。但是目前比较成熟的定位方法和技术并不是面向移动平台的,并没有考虑到移动平台上设备的特点：移动平台上的设备不仅可以测量WIFI、蓝牙等各种无线信号,而且通过安装的惯性传感器还可以测量行人的各种运动数据。结合室内定位的技术现状和移动平台的发展,本文提出通过利用移动设备上的无线信号接收器和惯性传感器来进行室内定位的方法,通过这种方法可以实时、连续地获取用户的位置,从而为移动平台提供室内定位服务。本文的主要工作有以下三个方面：一、通过利用信号强度值的数据统计特征,本文提出了一种新的基于信号强度指纹的定位方法,该方法考虑到了室内环境下信号强度测量值的随机特征,通过引入信号测量值的方差来加权信号强度值,提高了准确度。二、通过利用移动平台上的惯性传感器,本文提出了在室内定位的场景下通过测量行人的运动特征数据来进行行人位置推测的方法,并且提出了一种新的计步方法,从而提高了移动平台上定位的连续性。三、本文最后提出了一种对信号强度指纹法和行人位置推测法的定位结果进行信息融合的方法。通过一定的策略,将两种基于不同原理的定位子系统的定位信息融合,从而提高了定位结果的准确度和稳定性。更多还原

【Abstract】 With the popularity of smart mobile devices in people’s production and life, indoor positioning methods for mobile platform have been growing more versatile. More people begin to use location service at work and in life, including destination navigation, museum guide, finding nearby stores and etc. So people put forward higher requirement for the location service, which is not only reflected in the timeliness and accuracy, but also reflected in the coverage. One important part of the requirements is indoor positioning. Since the satellite signals are vulnerable to obstacles blocking and the impact of multipath effects, technology for outdoor location cannot be used in indoor environment, so the research on indoor positioning has been the focus of scientific research. This paper studies indoor positioning methods and applications for mobile platforms, by using a radio signal receiver and inertial sensors on the mobile platform to achieve indoor positioning and provide location information for mobile environment scenarios. But now mature positioning methods and techniques are not for mobile platforms, and therefore not take into account the characteristics of the mobile platform devices:mobile devices can not only measure a variety of wireless signal such as WIFI, Bluetooth, etc., but also by MEMS inertial sensors installed can measure a variety of motion data pedestrians.Combined with the state of indoor positioning technology and mobile platforms, this paper propose methods in indoor positioning by using a radio signal receiver on mobile devices and MEMS inertial sensors. This method can used to access the user’s location continuously, and provide indoor location-based services for mobile platforms. The main work in the following three aspects:Firstly, by using statistical characteristics of the signal intensity values, we propose a new method based on the method of signal strength fingerprint. The method takes into account the random characteristic of signal strength measurements in indoor environments. By introducing the signal variance of the measured values, we improve the accuracy of positioning.Secondly, Location results based on the signal strength fingerprinting positioning method are susceptible to changes in the indoor environment. In order to adapt to the real-time location on mobile platform, we propose measuring the movement of pedestrians by the use of inertial sensors in mobile platform.Thirdly, by using a variety of positioning subsystem location information, we can improve the accuracy and stability of the positioning method. So this paper presents a method for fusing results of signal strength fingerprinting method and pedestrian position estimation method.更多还原