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在基于能量检测的脉冲超宽带测距算法中,如何提高测距精度始终是研究热点.提出一种基于门限比较的两步积分到达时间(TOA)估计算法及相应的门限设置算法.考虑到长积分周期门限比较(TC)算法的测距精度低于短周期,在前者基础上重新进行短周期积分检测,构成两步积分TOA估计算法;根据最优归一化门限与能量采样序列最大值均值比(AMMR)的函数关系,提出基于AMMR值的门限设置算法(AMMR-TC),实现了最优归一化门限值的设置.由于短积分周期下,AMMR-TC的性能稍弱于基于能量序列最大最小值比的(MMR-TC)算法,提出将AMMR-TC与均值-门限比较(MEAN-TC)相结合的AMMR-MEAN-TC算法.仿真分析结果表明测距精度均有一定提高.
In the pulse UWB ranging based on energy detection, how to improve the accuracy of ranging is always a research hotspot.This paper proposes a two-step integral arrival time (TOA) estimation algorithm based on threshold comparison and the corresponding threshold setting algorithm, The integration period threshold comparison (TC) algorithm has shorter ranging accuracy than the short period, and short cycle integral detection based on the former, which constitutes a two-step integrated TOA estimation algorithm. Based on the optimal normalized threshold and the maximum value of the energy sampling sequence (AMMR-TC) is proposed based on the functional relationship of AMMR and AMMR-TC, the performance of AMMR-TC is weaker than that of AMMR-TC (MMR-TC) algorithm, the AMMR-MEAN-TC algorithm is proposed to combine the AMMR-TC with the mean-threshold comparison (MEAN-TC) .The simulation results show that the accuracy of the ranging is improved .