Volume 32 Issue 08
Aug.  2006
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Chang Rong, Zhang Jianglin, . TOA data process method for improving the position location accuracy in NLOS environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(08): 946-949. (in Chinese)
Citation: Chang Rong, Zhang Jianglin, . TOA data process method for improving the position location accuracy in NLOS environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(08): 946-949. (in Chinese)

TOA data process method for improving the position location accuracy in NLOS environment

  • Received Date: 23 Sep 2005
  • Publish Date: 31 Aug 2006
  • Based on the statistical property of the non-line of sight(NLOS) propagation in the mobile communication environment, a data process method was presented to improve the position location accuracy of the time-of-arrival(TOA). All of the measured TOA data were analysed, and the data which were apparently non-reasonable and had no use to the location estimation, and even worsen the position location accuracy were eliminated, and the 3 data which had the minimum error were kept. The least-squares(LS) method was applied to evaluate thelocation of mobile station. The simulation results show that this data process method not only can effectively improve the position location accuracy of the TOA method in NLOS environment, but also has little disadvantage to mobile location in line of sight(LOS) environment. It has a good adaptability for the communication environment.

     

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  • [1] Rappaport T S, Reed J H, Woerner B D. Position location using wireless communications on highways of the future[J]. IEEE Communication Magazine, 1996, 34(10):33-41 [2] Wylie M P, Holtzmann J. The non-line of sight problem in mobile location estimation Travers K. Proceedings of 5th IEEE International Conference on Universal Personal Communications. Piscataway:IEEE Press, 1996:827-831 [3] Thomas N J, Cruickshank D G M, Laurenson D I. A robust location estimator architecture with biased Kalman filtering of TOA data for wireless systems Proceeding of 6th IEEE International Symposium on Spread-Spectrum Technique & Applications. Piscataway:IEEE Press, 2000:296-300 [4] Jazzar S Al, Caffery J Jr. ML & Bayesian TOA location estimators for NLOS environments Proceedings of 55th IEEE Vehicular Technology Conference. Piscataway:IEEE Press, 2002:1178-1181 [5] Ertel R B, Reed J H. Angle and time of arrival statistics for circular and elliptical scattering models[J]. IEEE Journal on Selected Areas in Communications, 1999, 17(11):1829-1840 [6] He Yan, Hu Hanying, Zhou Shan. A TOA based believable factor mobile location algorithm Jamalipour A. Proceedings of 2004 IEEE Wireless Communications and Networking Conference. Piscataway:IEEE Press, 2004:260-263 [7] Liu Ying, Wang Shuxun. TOA estimation method using fourth order cumulants Yuan Baozong. Proceeding of 5th IEEE International Conference on Signal Processing. Beijing:Publishing House of Electronics Industry, 2000:210-214 [8] Winter J, Wengerter C. High resolution estimation of the time of arrival for GSM location Kurata N. Proceedings of 51th IEEE Vehicular Technology Conference. Piscataway:IEEE Press, 2000:1343-1347 [9] Greenstein L J. A new path-gain/delay spread propagation model for digital cellular channels[J]. IEEE Transactions on VT, 1997, 46(2):477-484 [10] Chan Y T, Ho K C. A simple and efficient estimator for hyperbolic location[J]. IEEE Transactions on Signal Processing, 1994, 42(8):1905-1915
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