摘要
仅使用单个基站测量信息对蜂窝网移动台进行定位跟踪实现简单并具有较高的可定位概率,但面临的挑战是如何提高定位精度。粒子滤波是基于贝叶斯推论的一种蒙特卡洛方法,特别适用于非线性非高斯信号处理。该文提出了基于粒子滤波的单站跟踪算法。仿真结果表明与快拍式定位方法相比,这种滤波算法大大提高了单站定位的精度;与扩展卡尔曼滤波相比,粒子滤波收敛速度快,性能稳健。
The implementation of mobile location utilizing only the service base station is relatively easy and the probability of positioning is higher. But the major challenge is poor accuracy. A single base station mobile tracking technique is proposed based on particle filter, which is a powerful method dealing with highly non-linear non-Gaussian problem. Simulation results indicate this technique can achieve high accuracy and the convergence speed is faster than extended Kalman filter based location algorithm.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第7期1556-1559,共4页
Journal of Electronics & Information Technology
