A Two-step TOA Estimation Method for IR-UWB Ranging Systems

Shaohua Wu, Qinyu Zhang, Naitong Zhang
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引用次数: 16

Abstract

To design a low-calculation and high-precision TOA estimation algorithm for IR-UWB ranging systems, a two-step TOA estimation method which jointly employs energy-detection (ED) and match- filtering (MF) is proposed. Based on analyzing the principles of the two-step method, it was pointed out that the success rate of DP block detection in the first step and the setting of MF-threshold-factor in the second step were the key issues that affect the performance of the method. Algorithm selection of the first step and setting of the energy integration interval, which are the two factors that affects the success rate of DP block detection, were discussed through simulations. The idea of DMR (DP to minimum energy sample ratio) based MF-threshold-factor selection was proposed. Results show that the proposed two-step method greatly outperforms the one-step energy-detection based non-coherent method, while largely decreases the computational complexity compared to the one-step match-filtering based coherent method.
红外-超宽带测距系统的两步TOA估计方法
为了设计一种低计算量、高精度的红外-超宽带测距系统TOA估计算法,提出了一种结合能量检测和匹配滤波的两步TOA估计方法。在分析两步法原理的基础上,指出第一步DP块检测的成功率和第二步mf阈值因子的设置是影响该方法性能的关键问题。通过仿真讨论了影响DP块检测成功率的两个因素:第一步算法的选择和能量积分区间的设置。提出了基于最小能量样本比的阈值因子选择思想。结果表明,该方法大大优于基于一步能量检测的非相干方法,同时大大降低了基于一步匹配滤波的相干方法的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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