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Chapter 58 A Novel Three-Dimensional Indoor Localization Algorithm Based on Multi-Sensors

机译:第58章一种基于多传感器的三维室内定位算法

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摘要

With the wildly application of the mobile internet, the market of location-based services is growing rapidly. At present, the main current method of indoor location is based on the finger point position technology of wireless local area network (WLAN), and combined with a fusion algorithm of pedestrian dead reckoning (PDR). Furthermore, due to the spread characteristics of Wi-Fi signal, there are some weak signal zones and even blind zones. This paper proposes a novel indoor localization algorithm. The algorithm combines the multi-finger point technology, geomagnetic navigation and inertial navigation, and uses the advantages of each technology to complement each other, to achieve the series, seamless, and three dimensions indoor location. Through the algorithm simulation and contrast analysis of experiment, the algorithm given in this paper has showed that the average positioning accuracy has improved nearly 37 %, the average positioning error can reach 2.72 m and the new algorithm has a 100 % coverage area rates in comparison with KNNYW-KNNYPDR and their fusion algorithm, which has proved the feasibility and effectiveness of this new fusion algorithm.
机译:随着移动互联网的广泛应用,基于位置的服务市场正在迅速增长。目前,室内定位的主要方法是基于无线局域网(WLAN)的指点定位技术,并结合行人航位推算(PDR)的融合算法。此外,由于Wi-Fi信号的传播特性,存在一些较弱的信号区域,甚至是盲区。本文提出了一种新颖的室内定位算法。该算法结合了多指点技术,地磁导航和惯性导航,并利用每种技术的优势相辅相成,实现了串联,无缝和三维室内定位。通过算法仿真和实验对比分析,本文给出的算法表明平均定位精度提高了近37%,平均定位误差可以达到2.72m,与之相比,新算法的覆盖面积率为100%。结合KNNYW-KNNYPDR及其融合算法,证明了该新融合算法的可行性和有效性。

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