大范围高精度自适应时延估计方法及实现技术

发布时间：2018-01-27 01:37

本文关键词： 时延估计大范围高精度自适应迭代 Farrow滤波器　出处：《北京理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：在雷达、声纳及通信等很多领域中，时间延迟是表征信号的重要参量，准确、迅速地估计接收器所接收到的同源信号之间的时间延迟，对距离、速度等相关参量的确定具有十分重要的意义。随着时延估计在很多领域的广泛应用，时延估计方法需要更多的考虑各种实际因素，对该技术的研究也呈现出多样性。一般而言，时延估计的精度要求越高，对算法复杂度的需求就越高，因此在对大范围时变时延进行精确估计时，就对算法的高效性提出了挑战。论文结合自适应算法理论和非整周期延时滤波理论，提出一种针对大范围时变时延的自适应时延估计方法，，仿真及实现结果表明采用该方法可在使用资源较低的情况下，获得较快的收敛速度以及几十皮秒的估计精度。论文的主要工作如下： 1.研究了自适应算法和非整周期延时滤波的相关理论，结合最小均方误差自适应算法和Farrow小数延时滤波器结构，提出了一种针对大范围时变时延的估计方法，给出了Farrow滤波器和自适应迭代算法中相应参数的公式推导，仿真验证了算法的有效性； 2.基于FPGA设计实现所提方法，给出总体设计及各模块的详细设计，Modelsim仿真验证设计的正确性。
[Abstract]:In many fields, such as radar, sonar and communication, time delay is an important parameter to characterize the signal. It can estimate the time delay and distance between the signals received by the receiver accurately and quickly. It is very important to determine the relative parameters such as velocity. With the wide application of time delay estimation in many fields, more practical factors need to be considered in the time delay estimation method. Generally speaking, the higher the precision of time delay estimation is, the higher the complexity of the algorithm is, so when we estimate the time-varying time delay in a large range accurately. It challenges the efficiency of the algorithm. Based on the theory of adaptive algorithm and the theory of non-integer periodic delay filtering, an adaptive time-delay estimation method is proposed for time-varying delay in a large range. The results of simulation and implementation show that the proposed method can obtain fast convergence speed and estimation accuracy of tens of picoseconds under the condition of low resources. The main work of the thesis is as follows: 1. The relevant theories of adaptive algorithm and non-integer periodic delay filter are studied, combined with the least mean square error adaptive algorithm and the structure of Farrow fractional delay filter. A method for estimating time-varying time delay in a large range is proposed. The formula derivation of the corresponding parameters in the Farrow filter and the adaptive iterative algorithm is given, and the validity of the algorithm is verified by simulation. 2. Based on the proposed method of FPGA design, the overall design and the detailed design of each module are given to verify the correctness of the design.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN713

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