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Location service for wireless network using improved RSS-based cellular localisation

机译:使用改进的基于RSS的蜂窝定位的无线网络定位服务

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摘要

Value-added services, especially in mobile environments, have recently become the key component of making more profit and attracting more subscribers. One of the most commonly used such service is location-based advertiser services. The main issue which should be considered in providing such services is determining the position of the mobile terminals precisely. In this paper, one pattern recognition localisation method based on the signal strength appropriated for implementing a location-based service is presented. The main aim is to introduce some practical solutions to decrease error and computational load and also eliminate the necessity of updating the database. Practical results illustrate high accuracy of this technique and its suitability to apply in such services. The mean error declines to 9.7 m and mean error corresponding to CDF = 67% and CDF = 95% are less than llm and 23 m, respectively. We also present a location-based advertising service, in which the customer's interests and local time are considered, in order to enhance the efficiency and individualism of this service.
机译:增值服务(尤其是在移动环境中)最近已成为赚取更多利润和吸引更多订户的关键组成部分。基于位置的广告商服务是最常用的此类服务之一。提供此类服务时应考虑的主要问题是精确确定移动终端的位置。本文提出了一种基于信号强度的模式识别定位方法,该方法适于实现基于位置的服务。主要目的是介绍一些实用的解决方案,以减少错误和计算量,并且消除了更新数据库的必要性。实际结果说明了该技术的高度准确性及其在此类服务中的适用性。平均误差下降到9.7 m,与CDF = 67%和CDF = 95%对应的平均误差分别小于11m和23 m。我们还提供了一种基于位置的广告服务,其中考虑了客户的兴趣和当地时间,以提高该服务的效率和个性化。

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