摘要
提出了一种当接收端(或基站)在平面上随机分布时,考虑非视距(NLOS)传播误差条件下对移动台定位的有效算法。该方法基于到达时间定位技术,其主要思想是通过概率定位和几何定位联合检测具有 NLOS 误差的测量值(在各接收端处估计的信号时延),然后估计这些测量值的 NLOS 误差的大小并更新这些测量值,最后重新估计移动台位置。文中给出了算法的步骤,推导了算法估计误差的方差。同时,本文推导了 NLOS 环境下定位估计误差的克拉美罗下限,并将所提算法的性能与克拉美罗下限做了比较和分析。仿真部分也给出了不同算法与本文算法的性能比较,从仿真结果可以看出,该算法估计精度高。
An efficient algorithm used to locate mobile’s position when NLOS propagation exists and all receivers (or base stations) distribute arbitrarily in a 2-D plane is proposed. The method based on the time of arrival technology first detects NLOS measurements (signal time delay estimated at each receiver) by combing the methods based on probability and geometry, and then refreshes their values of these NLOS measurements by estimating the values of their NLOS errors. At last the method estimates the position of the mobile station again. A detail estimation process and the variance of the method are given. The Cramer-Rao Lower Bound (CRLB) of location in NLOS environment is also achieved. The performance of the proposed method is compared with the CRLB. In simulation, the performances of different location algorithms are also compared with our method. Simulation results show that this algorithm has fine estimation accuracy.
出处
《通信学报》
EI
CSCD
北大核心
2005年第1期59-65,共7页
Journal on Communications
