Title :
An Improved TDOA Algorithm Applied Person Localization System in Coal Mine
Author :
Jiaxi, Wei ; Yan, Chen ; Shuo, Sun
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
For the complex environment of coal mine, there are many noises and random errors, which make larger location error in coal mine, lead to the difficulty of finding the precise positions of staff. This paper presented an improved location algorithm based on time average, which was the characteristics of lower computational complexity, less communication cost and stronger anti-interference ability. Having been simulated, the results were proved that this algorithm could decrease the impact caused by noise interference and random error efficiently. The positioning error was down to 0.5m, compared with tradition method it was increased by 50%.
Keywords :
coal; direction-of-arrival estimation; interference suppression; mining; TDOA algorithm; coal mine; noise interference; person localization system; random error; Accuracy; Base stations; Equations; Fuel processing industries; Interference; Mathematical model; Noise; Accuracy; Algorithm; Location;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.108