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.

本论文就如何利用阵列天线的信号到达角度（DOA）和超宽带信号的到达时间差（TDOA）来提高室内定位精度的问题进行研究。