Ieee Transactions on Wireless Communications 1 a Glrt Approach to Data-aided Timing Acquisition in Uwb Radios – Part I: Algorithms
Ieee Transactions on Wireless Communications 1 a Glrt Approach to Data-aided Timing Acquisition in Uwb Radios – Part I: Algorithms
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通讯作者：
Z. Tian;G. Giannakis
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作者：
Z. Tian;G. Giannakis
-实现脉冲无线电通信的巨大潜力关键取决于定时捕获的成功。为此，本文基于最大似然(ML)准则推导了最优数据辅助定时偏差估计器。具体地说，广义似然比检验(GLRT)被用来检测通过密集多径传播的超宽带波形，以及估计闭合形式的相关定时和信道参数。利用脉冲重复模式，GLRT归结为幅度估计问题，基于该问题，可以在不调用任何线搜索的情况下获得闭合形式的定时捕获估计。该算法只使用以低符号率采集的数字样本，从而大大降低了实现的复杂度和捕获时间。文中还给出了捕获性能的解析界和仿真结果。
— Realizing the great potential of impulse radio communications depends critically on the success of timing acquisition. To this end, optimum data-aided timing offset estimators are derived in this paper based on the maximum likelihood (ML) criterion. Specifically, generalized likelihood ratio tests (GLRTs) are employed to detect an ultra-wideband waveform propagating through dense multipath, as well as to estimate the associated timing and channel parameters in closed form. Capitalizing on the pulse repetition pattern, the GLRT boils down to an amplitude estimation problem, based on which closed-form timing acquisition estimates can be obtained without invoking any line search. The proposed algorithms only employ digital samples collected at a low symbol rate, thus reducing considerably the implementation complexity and acquisition time. Analytical acquisition performance bounds and corroborating simulations are also provided.