IR-UWB系统中基于归一化门限的TOA估计  

TOA Estimation Based on Normalized Threshold for IR-UWB Systems

作　　者：翟双[1,2] 钱志鸿[1] 王雪[1] 孙大洋[1] 

机构地区：[1]吉林大学通信工程学院,长春130012 [2]长春工业大学计算机科学与工程学院,长春130012

出　　处：《北京邮电大学学报》2015年第4期19-23,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(61371092;61401175)

摘　　要：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.The impulse radio-ultra wideband（ IR-UWB） ranging algorithm based on energy detection is widely applied,improving ranging accuracy turns out to be a key point that draws many researchers＇ attentions. A new two-step-integral time of arrival（ TOA） estimation algorithm based on threshold comparison（ TC） was proposed,and the corresponding threshold-setting algorithm was also put forward. The ranging accuracy of the TC algorithm for long integration period is lower than that,for short,the two-stepintegral TOA estimation algorithm is built up by one more short integration period detection based on long integration period; according to the functional relation between the optimal normalized threshold and advanced maximum energy sample to mean ratio-TC（ AMMR-TC） is proposed and the optimal normalized threshold is set. Due to the performance of AMMR-TC is worse than maximum to minimum energy sample ratio-TC（ MMR-TC） a little in short integration period,a novel AMMR-MEAN-TC algorithm is put forward in the paper by combining the two algorithms above. Simulations indicate that the ranging accuracy had been improved.

关 键 词：脉冲超宽带 门限比较 到达时间估计 

分 类 号：TN925[电子电信—通信与信息系统]