摘要
论文对UWB中基于扩展卡尔曼滤波的TDOA跟踪定位算法研究。针对EKF算法会随着测量误差增大定位精度降低这一缺点,提出了一种自适应迭代扩展卡尔曼滤波算法(AIEKF),通过仿真对比表明该算法在测距误差增大时,该算法能保持良好的定位精度和收敛速度
This paper studies the TDOA location tracing algorithm based on extended kalman filter in UWB. A kind of AEKF(adaptive iteration extended kalman filter)is proposed based on the disadvantage that the EKF algorithm's positioning accuracy re-duces with the increase of measurement error and the simulation results show that this algorithm can maintain good positioning accu-racy and convergence speed during the increase of the distance-measuring error.
引文
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