基于测量数据的指纹技术和清洁算法的数字电视定位

S. Promwong, Nattapan Suwansukho
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引用次数: 1

摘要

数字地面电视(DTTV)技术已经发展起来,并用于播放电视节目。已经开发了许多用于数字电视的附加功能的应用程序。其中一个可以使用的功能是带有DTTV广播的定位系统。DVB-T2广播频道定位技术的优势在于其覆盖范围非常广,无论覆盖室外还是室内环境。目前有多种方法来定位物体或用户的位置,例如全球定位系统(GPS)、蜂窝定位系统(CPS)和Wi-Fi定位系统(WPS)。如今有各种用于监控的应用,如水位传感器系统,交通控制系统,入侵监控系统等,由定位系统组成。没有准确的定位,接收到的数据是没有用的。上述系统在某些环境中仍然存在局限性,例如GPS信号在某些环境中无法访问,CPS信号基于手机信号塔,WPS基于Wi-Fi热点。因此,降低了定位的精度。为了克服上述三种制度的局限性,需要补充补救措施,即覆盖率低。本研究的目的是通过Clean算法改善DVB-T2传播信道,消除传播信道中的噪声,提高定位系统的精度。该技术对DTTV技术中的定位分析非常有用。无论是室内还是室外环境,数字电视定位的显著优势是信号覆盖范围广。此外,采用Clean算法消除了传播信道中的噪声,提高了定位接收的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DTTV Localization with Fingerprinting Technique and Clean Algorithm Based on Measurement Data
Digital terrestrial television (DTTV) technology has been developed and used to broadcast the television program. A numerous applications have been developed for the additional feature used with DTTV. One of these features that can be used which is the localization system with DTTV broadcasting. The advantage of DVB-T2 broadcasting channel for localization technology which very wide coverage area that covered whether outdoor and indoor environment. In the present there are divers methodologies to locate the position of an object or user such as the Global Positioning System (GPS), Cellular Positioning System (CPS) and Wi-Fi Positioning System (WPS). Nowadays there are various application that used for monitoring and controlling such as a water level sensor system, a traffic control system, an intrusion monitoring system etc. that consists of the localization system. The received data can’t be useful without the accuracy location. The mentioned foregoing system still have a limitation in some environment such as the GPS signal is not accessible to some environments, the CPS signal is based on a cell phone tower and the WPS is based on Wi-Fi hotspot. Therefore, the accuracy of localization is decreased. In order to overcome the foregoing limitation of these three systems the complementary remedy the poor coverage is required. The objective of this research is to improve the DVB-T2 propagation channel by a Clean algorithm to eliminate the noise propagation channel for an accuracy of localization system. This technique is very useful for localization analysis in DTTV technology. The distinctive advantage of the DTTV localization is the wide coverage of signal whether an indoor or outdoor environment. Moreover, when the Clean algorithm has been used the noise in propagation channel has been eliminated lead to the accuracy of location receive.
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