移动定位技术试验与业务开发

移动定位与位置服务是业界公认的最有吸引力的无线数据业务,对于丰富无线数据业务市场和增加运营商的运营收入十分重要,不少移动运营商都对移动定位技术和业务进行了积极的探索。笔者通过组织并参与移动定位技术试验与业务开发的体会,对当前可用的移动定位技术(Cell-ID、GPS)和业务开发提出了自己看法。本文分析了当前可用的移动定位技术及其特点,阐述了移动定位业务的商务模式在市场应用中的关键作用,还介绍了一些移动定位典型业务。     

手机定位技术的A-GPS解决方案

针对目前市场上发展迅猛,逐渐流行的移动位置业务,本文就目前支持位置业务的几种主流的定位技术(AOA,TOA,TDOA,GPS等)做了介绍,并且重点分析了GPS的定位技术和GPS技术在移动位置业务方面的应用,最后探讨了目前移动位置业务上比较先进和新兴的A-GPS解决方案,并介绍了Motorola的A-GPS定位平台。     

3G时代移动定位业务发展的思考

随着3G技术的快速发展,移动定位业务被认为是最具发展潜力的移动增值业务之一。描述了移动定位业务中采用的主要定位技术并进行综合比较,展望移动定位业务的发展前景,并指出当前移动定位业务发展中存在的问题,探讨了解决的办法。     

3G时代的移动定位业务

介绍了3G移动定位业务市场现状,对3G中的3种定位技术的进行分析,探讨了移动定位业务发展面临的挑战及解决思路。     

移动宽带网络建设和业务发展的相关研究

从介绍移动宽带相关技术出发,分析了当前热门的移动宽带技术的关系和各自定位,并结合移动宽带网络建设和业务发展的经验与教训,对移动宽带网络建设和业务发展提出了具体建议,可为国内外电信运营商的移动宽带网络建设和业务发展提供参考。     

3G时代移动定位业务发展的思考

编者按:随着3G业务的不断发展,移动定位业务被认为是最具发展潜力的移动增值业务之一.本文描述了移动定位业务中采用的主要定位技术并进行了综合比较,还展望了移动定位业务的发展前景,同时指出了当前移动定位业务发展中存在的问题,探讨了解决的办法.     

GSM／UMTS移动位置业务的技术与实现

介绍了GSM/UMTS网络中实现位置业务的定位技术,描述了移动网络中实现位置业务的能力要求和国际标准的进展,并对移动位置业务的运营模式进行了分析,指出了移动位置业务成功的关键因素。     

3G时代的移动定位业务及市场前景

介绍移动定位业务与3G网络的关系和可在3G网络中应用的三种移动定位技术,阐述制约我国移动定位业务发展的因素和推进我国移动定位业务规模化发展需要做好的工作.     

基于全IP网络的移动定位技术

提出全IP网络移动增值业务——移动定位的概念,指出该业务的应用前景;重点描述全IP网络中移动定位技术的实现;最后阐述蓝牙技术和无线局域网技术用于移动定位的可行性。     

3G时代移动定位业务发展的思考

随着3G业务的不断发展，移动定位业务被认为是最具发展潜力的移动增值业务之一。本描述了移动定位业务中采用的主要定位技术并进行了综合比较，还展望了移动定位业务的发展前景，同时指出了当前移动定位业务发展中存在的问题，探讨了解决的办法。[编按]     

面向移动LBS的智能手机室内定位技术探讨

移动互联网的发展给基于位置的服务(LBS)带来了广泛的应用前景,智能手机的普及使用户定位和获取LBS变得更加方便。目前,手机定位技术特别是室内定位,仍不够成熟,已经成为制约LBS业务发展的技术瓶颈。本文在研究定位技术现状和发展趋势的基础上,提出一种新的室内定位方法,依靠智能手机内置传感器进行图像特征识别和运动状态检测,即可完成室内环境的准确定位,具有成本低、简单方便、灵活易扩展的优点,能够满足移动LBS业务模式发展需求。     

移动位置服务应用发展研究

3G时代的到来为移动增值业务提供了广阔的发展空间,移动位置服务以其移动性、实用性、随时性和个性化的特点,成为最具发展潜力的移动增值业务之一。本文从国内外移动位置服务应用模式及发展历程出发,对位置服务的应用特点、产业发展趋势以及发展中的若干问题进行分析,给出针对国内电信运营商位置服务业务的发展建议。     

基于室内外定位的校园LBS系统设计与实现

为了解决目前智能手机中位置服务LBS(Location Based Service)类移动应用在小环境区域不能准确提供位置服务的问题,以校园为例提出了一种基于室内外定位的LBS系统设计方案。首先介绍系统结构设计,然后详细分析了Mobile GIS、GPS、基于Wi Fi信号强度值的位置指纹定位算法等系统设计中的关键技术,最后测试验证系统的各个功能模块。测试结果表明,系统可以实现终端定位、室内位置服务、校园导航、地图服务等功能,且操作便捷,具备可行性和实用性。     

Impact of Galileo commercial service on location-based service providers: business model analysis and policy implications

Today's mobile location-based services (LBSs) largely depend on a free-of-charge, best-effort positioning technology, called global positioning system, which is controlled by the US military. The European alternative Galileo will not only offer a similar best-effort system by 2020, but also a premium-rate service known as Galileo commercial service (CS). Galileo CS is planned to provide higher positioning accuracy, improved security due to signal authentication and service guarantee. While the technology behind Galileo is often studied, the impact of Galileo CS on the LBS marketplace is rarely discussed. In this article, we fill this gap by analysing how improved accuracy, authentication and service guarantee may impact the business models of LBS providers. We do so by interviewing service providers, policy makers and industry experts on what new services would be enabled; technological alternatives that may emerge in the coming years; and organisational and financial issues that service providers face when adopting such a premium-priced positioning signal. We find that a more accurate, secure and reliable global navigation satellite system signal enables a range of new LBSs, although several alternative technologies are emerging that may make Galileo CS obsolete before it is even launched. To convince the LBS providers to adopt Galileo CS, the institution operating Galileo should get governments on board early on for building trust and should consider progressive pricing schemes. Still, service providers are sceptical about adopting Galileo CS, and the hope to recoup any investments in Galileo may thus be in vain.     

Intelligent location models for next generation location-based services

To become truly ubiquitous, next generation location-based services (LBS) will have to rely on mobile platforms upon which multiple sensors and measurement systems have been integrated to provide continuous, three-dimensional positioning and orientation. Such technologies are explored today for example in mobile mapping systems, vehicle navigation systems and mobile robot navigation. Next-generation LBS also need theoretically sound methods to translate position into location information. The article addresses this problem: the transformation of position into meaningful and reliable location, and the transformation of location knowledge into positioning constraints. It suggests by this way an intelligent location model that integrates sensor fusion with spatial knowledge fusion via a feedback cycle. It is shown that this feedback cycle consists of three layers: spatial constraints, temporal constraints and spatiotemporal constraints.     

位置服务信息安全防护

随着无线通信技术和智能移动终端的快速发展,基于位置的服务(LBS)在军事、交通、物流等诸多领域得到了广泛应用,它能够根据移动对象的位置信息提供个性化服务。在人们享受各种位置服务的同时,移动对象个人信息泄露的隐私威胁也渐渐成为一个严重的问题。为移动用户提供位置服务的同时,保护移动用户的位置隐私也至关重要。本文就位置业务隐私保护技术和位置业务隐私管控手段进行了探讨。     

移动位置服务系统设计

为了更好地说明目前在定位系统中常用的移动位置服务系统,采用软件设计的方法,对LBS体系结构的框架进行了分析,按照LBS系统体系要求,设计了LBS服务器端系统功能,通过实验测试,达到原定系统设计要求。说明移动位置服务系统在定位系统中的重要作用,其性能将直接决定定位系统的性能。设计的移动位置服务系统结构完整,性能优良,达到目前定位系统的各项要求。     

Location-based decision support for user groups

The ongoing progression of mobile communication devices, in particular with respect to positioning capabilities, has enabled the development of a new generation of location-based services (LBS). One of the most important aspects of current research on LBS is personalisation but it has been treated primarily for individual users. This article presents a first step towards personalised LBS that support user groups in their everyday decision-making, such as deciding where and when to meet for a common activity. The principles behind location-based group decision processes are outlined and a formal model for supporting such processes using methods of multi-criteria decision-making, time geography and similarity measurement is defined. This model is then implemented in the LBS prototype mediatrix. The prototype is used for simulating a location-based decision process aimed at finding an optimal restaurant for a user group in a city.     

Location determination using WiFi fingerprinting versus WiFi trilateration

Many applications in the area of location-based services and personal navigation require nowadays the location determination of a user not only in an outdoor environment but also an indoor. Typical applications of location-based services (LBS) mainly in outdoor environments are fleet management, travel aids, location identification, emergency services and vehicle navigation. LBS applications can be further extended if reliable and reasonably accurate three-dimensional positional information of a mobile device can be determined seamlessly in both indoor and outdoor environments. Current geolocation methods for LBS may be classified as GNSS-based, cellular network-based or their combinations. GNSS-based methods rely very much on the satellite visibility and the receiver-satellite geometry. This can be very problematic in dense high-rise urban environments and when transferring to an indoor environment. Especially, in cities with many high-rise buildings, the urban canyon will greatly affect the reception of the GNSS signals. Moreover, positioning in the indoor/outdoor transition areas would experience signal quality and signal reception problems, if GNSS systems alone are employed. The authors have proposed the integration of GNSS with wireless positioning techniques such as WiFi and UWB. In the case of WiFi positioning, the so-called fingerprinting method based on WiFi signal strength observations is usually employed. In this article, the underlying technology is briefly reviewed, followed by an investigation of two WiFi-positioning systems. Testing of the system is performed in two localisation test beds, one at the Vienna University of Technology and another one at the Hong Kong Polytechnic University. The first test showed that the trajectory of a moving user could be obtained with a standard deviation of about ±3–5 m. The main disadvantage of WiFi fingerprinting, however, is the required time consuming and costly signal strength system calibration in the beginning. Therefore, the authors have investigated if the measured signal strength values can be converted to the corresponding range to the access point. A new approach for this conversion is presented and analysed in typical test scenarios.     

Location based services: ongoing evolution and research agenda

We are now living in a mobile information era, which is fundamentally changing science and society. Location Based Services (LBS), which deliver information depending on the location of the (mobile) device and user, play a key role in this mobile information era. This article first reviews the ongoing evolution and research trends of the scientific field of LBS in the past years. To motivate further LBS research and stimulate collective efforts, this article then presents a series of key research challenges that are essential to advance the development of LBS, setting a research agenda for LBS to ‘positively’ shape the future of our mobile information society. These research challenges cover issues related to the core of LBS development (e.g. positioning, modelling, and communication), evaluation, and analysis of LBS-generated data, as well as social, ethical, and behavioural issues that rise as LBS enter into people’s daily lives.