TOA data process method for improving the position location accuracy in NLOS environment
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摘要: 基于移动通信环境中非视距NLOS(Non-Line of Sight)传播时延扩展服从指数分布的特性,提出了提高波达时间TOA(Time of Arrival)定位方法精度的一种数据处理方法.该方法首先对TOA测量数据进行分析,从中剔除明显不合理、对定位精度没有贡献、甚至会增加定位误差的测量值,保留误差最小的3个,然后采用最小二乘LS(Least Squares)法对移动台坐标进行估计.仿真数据表明,该数据处理方法不但能够有效提高NLOS传播环境下TOA定位方法的精度,并对视距LOS(Line of Sight)传播条件下的定位精度影响不大,具有较好的环境适应能力.Abstract: 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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Key words:
- data process /
- least-squares method /
- non-line of sight /
- time of arrival /
- position location
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