期刊文献+

基于SOA的双模数据融合定位方法与测试

The SOA Fusion Location Algorithm and Test Based on Dual Mode Data
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摘要 随着当代智能手机的出现,在智能终端上实现定位功能已成为不可缺少的增长业务。主要对TD-SCDMA/CDMA2000双模终端的定位技术进行了研究,提出了基于SOA的双模数据融合定位方法,分析了定位算法的数学模型,并给出了定位方案,最后在移动智能双模终端上进行了测试。测试结果表明,该方法实现了双模终端的自主定位功能,可以达到定位误差在300m内的概率为60%的定位精度。 With the emergence of the modern smart phones, localization function on intelligent terminals has become an indispensable growth business. The paper mainly studied the localization technology of TD-SCDMA/CDMA2000 dual mode terminals, and based on SOA, proposed a dual mode data fusion localization method. Then, it analyzed the mathematical model of the algorithm, provided the localization plan, and tested it on intelligent dual-mode mobile terminals. The result showed that the method realized the self-localization function on dual-mode mobile terminals, achieving a 60% chance accuracy with a margin of error within 300 meters.
出处 《移动通信》 2016年第7期87-91,共5页 Mobile Communications
基金 四川省教育厅一般科研项目"移动Wi MAX通信系统多层协作资源分配技术的研究"(12ZB119) 四川文理学院重点项目"无线双模数据融合定位技术研究"(2010A04Z)
关键词 双模终端 无线定位 数据融合 接收信号强度 dual mode terminal wireless location data fusion signal of arrival
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参考文献8

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