中文摘要：

在超宽带室内定位系统中，采用非相干能量检测方法进行TOA估计的方案是日前的一个研究热点，然而在低信噪比时能量检测方法往往很难获得比较精确的估计值。原因是噪声给首达峰值的检测以及TC算法的门限设定带来了一定的困难。为了提高能量检测方案在低信噪比时的性能，在接收机前端对接收到的脉冲序列执行时间平均处理来抑制噪声对于首达峰值检测和门限设定的影响，并进行了仿真比较，结果表明通过多脉冲时间平均处理的方法能够有效抑制噪声对于能量检测的影响，明显提高了低信噪比时TOA估计的精确度，同时也使门限的设定变的更为简单精确。

英文摘要：

Non-coherent energy detection approach is a recent hotspot in the UWB indoor localization system, but the accuracy is poor in lower SNR. The reason is that the noise makes the detection of the leading edge and the setting of threshold in TC algorithms difficult to perform. To improve the performance of energy detection in lower SNR, the time average operation was performed to the train of pulses at the front of the receiver, which can restrain the effect of noise on leading edge detection and the setting of threshold. The result of simulation indicated that time average could restrain the effect of noise on energy detection efficiently and improve the accuracy of TOA estimation and make the setting of threshold simple and precise synchronously.