Research on similarity metric distance algorithm for indoor and outdoor firefighting personnel precision wireless location system based on vague set on UWB

Author(s):  
Kun Zhang ◽  
Chong Shen ◽  
Qian Gao ◽  
Haifeng Wang
2012 ◽  
Vol 263-266 ◽  
pp. 501-505
Author(s):  
Xiong Dong Ding ◽  
Guang Qian Chu

In the ocean, due to the non-ideal channel environment, it is difficult to locate the position of the vessel in the sea quickly and exactly. In order to improve the location accuracy of accident vessel in the ocean, one method is to analyze the main cause of the different kinds of the measurement errors to find their solutions to decrease the errors. The subject that Kalman filtering technology is applied in wireless location system is researched in this paper, which can reduce the measurement error and greatly improve the location accuracy.


2016 ◽  
pp. 1-1 ◽  
Author(s):  
Ling Wei ◽  
Hongming Zhang ◽  
Bingyan Yu ◽  
Jian Song ◽  
Yang Guan

2013 ◽  
Vol 718-720 ◽  
pp. 1711-1716
Author(s):  
Ning Yang ◽  
Shao Shan Zhong ◽  
Hai Ting Zhu

As the indoor environment is complex,the attenuation model is imprecise.and the wireless location system is inaccurate.It is a effective method calculating attenuation factor with different distance RSSI data and selecting proper reference distance for solving single reference distance defect. The experiment verified that it can modify distance measurement mode and improve the accuracy and reliability of indoor distance measurement based on RFID.


Author(s):  
S. Wei ◽  
B. Li ◽  
Z. Guo ◽  
S. Guo ◽  
L. Cheng

<p><strong>Abstract.</strong> With the development of urbanization, the building structures are more and more complex, and various moving objects, such as human beings, robots and unmanned aerial vehicles, often travel through indoor and outdoor 3D space, which puts forward higher requirements for the accurate search and location in indoor and outdoor space. At present, most of the spatial location methods for indoor entities are carried out through 2D maps. However, the indoor environment is a complex 3D space, which increases the difficulty of the search process. In addition, 2D map cannot accurately display the 3D spatial position of the entity. Therefore, it is difficult for 2D maps to search and locate in complex environment. Therefore, how to quickly and effectively carry out spatial location query in complex indoor environment has become an urgent problem to be solved. Taking the library of Beijing University of Civil Engineering and Architecture as an example, this paper obtains the indoor 3D information of the library based on SLAM, processes and publishes the acquired 3D information on IndoorViewer, and uses its API in the book retrieval system. Finally, a book retrieval and location system based on real-scene 3D is finished.</p>


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