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Based on wavelet transform of TDOA/AOA location tracking algorithm

机译:基于TDOA / AOA位置跟踪算法小波变换

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In cellular network mobile station location, the actual measured values non-line-of-sight error exists, makes the precision positioning algorithm based on the measured value is lower, aiming at the effects of non-line-of-sight error on the positioning performance, this paper proposes a new algorithm to reduce non line-of-sight error. Using wavelet transform to signal de-noising effect, eliminate the error in the measured value and reuse method of TDOA/AOA location algorithm to estimate mobile station location, with a certain distance threshold to mobile station location tracking. Simulation results show that the algorithm can effectively improve the positioning precision in non line-of-sight environments, positioning result was significantly better than Chan algorithm and TDOA/AOA location method algorithm.
机译:在蜂窝网络移动台位置,实际测量值存在非视线错误,使得基于测量值的精密定位算法较低,旨在瞄准非瞄准误差对定位的影响性能,本文提出了一种新的算法来减少非视线错误。使用小波变换来信号去噪效果,消除了TDOA / AOA定位算法的测量值和重用方法的误差来估计移动台位置,具有一定的距离阈值到移动台位置跟踪。仿真结果表明,该算法可以有效提高非视线环境中的定位精度,定位结果明显优于Chan算法和TDOA / AOA定位方法算法。

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