【摘要】：基于到達(dá)時(shí)間差(TDOA)的無線定位技術(shù)廣泛的應(yīng)用于軍事國(guó)防建設(shè)、智能交通、汽車導(dǎo)航等領(lǐng)域。而隨著科學(xué)技術(shù)的不斷發(fā)展，基于TDOA的無線定位技術(shù)也將應(yīng)用到日常生活當(dāng)中。基于TDOA的無線定位技術(shù)的核心是時(shí)延估計(jì)，如何能夠提高時(shí)延差估計(jì)的精度，并且有效的應(yīng)用于無線定位系統(tǒng)中是國(guó)內(nèi)外學(xué)者的關(guān)注熱點(diǎn)。經(jīng)過多年國(guó)內(nèi)外學(xué)者的不懈努力，許多經(jīng)典的能夠提高時(shí)延估計(jì)精度的算法被提出。基于此本論文著重研究基于TDOA無線定位時(shí)延估計(jì)的算法的基本原理與方法，結(jié)合LMS自適應(yīng)濾波、二次相關(guān)、希爾伯特變換等相關(guān)理論，對(duì)基本算法進(jìn)行了改進(jìn)與優(yōu)化。 首先，本文簡(jiǎn)要分析了TDOA時(shí)延估計(jì)的原理，給出了TDOA時(shí)延估計(jì)的信號(hào)模型，然后本文詳細(xì)的研究了五種基本的時(shí)延估計(jì)方法，并對(duì)廣義互相關(guān)法與LMS自適應(yīng)時(shí)延估計(jì)方法進(jìn)行了仿真驗(yàn)證，而且證明了其中幾個(gè)基本方法的相互關(guān)系。 其次，針對(duì)時(shí)延精度的問題，本文在高精度時(shí)延估計(jì)方法研究的基礎(chǔ)上提出了一種基于LMS廣義相關(guān)希爾伯特差值時(shí)延估計(jì)算法，并對(duì)基于LMS廣義相關(guān)希爾伯特差值算法進(jìn)行了計(jì)算機(jī)仿真，驗(yàn)證算法的估計(jì)性能。 最后，，針對(duì)基于LMS廣義相關(guān)希爾伯特差值算法的不足，對(duì)基于LMS廣義相關(guān)希爾伯特差值算法進(jìn)行了優(yōu)化處理，將固定步長(zhǎng)LMS自適應(yīng)轉(zhuǎn)化成變步長(zhǎng)LMS自適應(yīng)濾波，提出了基于變步長(zhǎng)LMS廣義二次相關(guān)希爾伯特差值時(shí)延估計(jì)算法，對(duì)優(yōu)化后的算法進(jìn)行仿真驗(yàn)證，證明其有效性與估計(jì)性能優(yōu)越性。
[Abstract]:The wireless positioning technology based on the time difference of arrival (TDOA) is widely used in military defense construction, intelligent transportation, automobile navigation and other fields. With the continuous development of science and technology, the wireless positioning technology based on TDOA will also be applied to daily life. The core of wireless positioning technology based on TDOA is time delay estimation, how to improve the time of time delay The accuracy of the delay estimation and its effective application in the wireless positioning system are the focus of attention of scholars at home and abroad. After many years of unremitting efforts of scholars at home and abroad, many classical algorithms which can improve the accuracy of time delay estimation have been proposed. Based on this paper, the basic principle of the algorithm based on TDOA line localization time delay estimation is focused on. Methods combined with LMS adaptive filtering, two times correlation, Hilbert transform and other related theories, the basic algorithm was improved and optimized.
Firstly, the principle of TDOA time delay estimation is briefly analyzed, and the signal model of TDOA time delay estimation is given. Then five basic time delay estimation methods are studied in detail, and the simulation verification of the generalized cross correlation method and the LMS adaptive time delay estimation method is carried out, and the relationship between some of the basic methods is proved.
Secondly, based on the study of high precision time delay estimation, a LMS generalized correlation Hilbert difference time delay estimation algorithm based on the high precision time delay estimation method is proposed, and the computer simulation based on the LMS generalized correlation Hilbert difference algorithm is carried out to verify the estimation performance of the algorithm.
Finally, aiming at the deficiency of the generalized correlation Hilbert difference algorithm based on LMS, the LMS generalized correlation Hilbert difference algorithm is optimized. The fixed step LMS is transformed into a variable step length LMS adaptive filter, and a variable step length LMS generalized two time correlation Hilbert difference time delay estimation algorithm is proposed. Simulation results show that the algorithm is effective and superior in estimation performance.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.7

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本文編號(hào)：2122438