發(fā)布時(shí)間：2018-01-27 01:37

  本文關(guān)鍵詞： 時(shí)延估計(jì) 大范圍 高精度 自適應(yīng)迭代 Farrow濾波器　出處：《北京理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：在雷達(dá)、聲納及通信等很多領(lǐng)域中，時(shí)間延遲是表征信號(hào)的重要參量，準(zhǔn)確、迅速地估計(jì)接收器所接收到的同源信號(hào)之間的時(shí)間延遲，對(duì)距離、速度等相關(guān)參量的確定具有十分重要的意義。隨著時(shí)延估計(jì)在很多領(lǐng)域的廣泛應(yīng)用，時(shí)延估計(jì)方法需要更多的考慮各種實(shí)際因素，對(duì)該技術(shù)的研究也呈現(xiàn)出多樣性。一般而言，時(shí)延估計(jì)的精度要求越高，對(duì)算法復(fù)雜度的需求就越高，因此在對(duì)大范圍時(shí)變時(shí)延進(jìn)行精確估計(jì)時(shí)，就對(duì)算法的高效性提出了挑戰(zhàn)。 論文結(jié)合自適應(yīng)算法理論和非整周期延時(shí)濾波理論，提出一種針對(duì)大范圍時(shí)變時(shí)延的自適應(yīng)時(shí)延估計(jì)方法，，仿真及實(shí)現(xiàn)結(jié)果表明采用該方法可在使用資源較低的情況下，獲得較快的收斂速度以及幾十皮秒的估計(jì)精度。 論文的主要工作如下： 1.研究了自適應(yīng)算法和非整周期延時(shí)濾波的相關(guān)理論，結(jié)合最小均方誤差自適應(yīng)算法和Farrow小數(shù)延時(shí)濾波器結(jié)構(gòu)，提出了一種針對(duì)大范圍時(shí)變時(shí)延的估計(jì)方法，給出了Farrow濾波器和自適應(yīng)迭代算法中相應(yīng)參數(shù)的公式推導(dǎo)，仿真驗(yàn)證了算法的有效性； 2.基于FPGA設(shè)計(jì)實(shí)現(xiàn)所提方法，給出總體設(shè)計(jì)及各模塊的詳細(xì)設(shè)計(jì)，Modelsim仿真驗(yàn)證設(shè)計(jì)的正確性。
[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.
【學(xué)位授予單位】：北京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN713

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本文編號(hào)：1467190