用于无线定位的TDOA算法研究与改进
发布时间：2018-07-14 17:38
【摘要】：基于到达时间差(TDOA)的无线定位技术广泛的应用于军事国防建设、智能交通、汽车导航等领域。而随着科学技术的不断发展，基于TDOA的无线定位技术也将应用到日常生活当中。基于TDOA的无线定位技术的核心是时延估计，如何能够提高时延差估计的精度，并且有效的应用于无线定位系统中是国内外学者的关注热点。经过多年国内外学者的不懈努力，许多经典的能够提高时延估计精度的算法被提出。基于此本论文着重研究基于TDOA无线定位时延估计的算法的基本原理与方法，结合LMS自适应滤波、二次相关、希尔伯特变换等相关理论，对基本算法进行了改进与优化。 首先，本文简要分析了TDOA时延估计的原理，给出了TDOA时延估计的信号模型，然后本文详细的研究了五种基本的时延估计方法，并对广义互相关法与LMS自适应时延估计方法进行了仿真验证，而且证明了其中几个基本方法的相互关系。 其次，针对时延精度的问题，本文在高精度时延估计方法研究的基础上提出了一种基于LMS广义相关希尔伯特差值时延估计算法，并对基于LMS广义相关希尔伯特差值算法进行了计算机仿真，验证算法的估计性能。 最后，，针对基于LMS广义相关希尔伯特差值算法的不足，对基于LMS广义相关希尔伯特差值算法进行了优化处理，将固定步长LMS自适应转化成变步长LMS自适应滤波，提出了基于变步长LMS广义二次相关希尔伯特差值时延估计算法，对优化后的算法进行仿真验证，证明其有效性与估计性能优越性。
[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.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.7
[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.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.7
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