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]:Time-of-arrival (TDOA) based wireless positioning technology is widely used in military defense construction, intelligent transportation, vehicle navigation and other fields. With the development of science and technology, wireless location technology based on TDOA will be applied to daily life. TDOA-based wireless location technology is the core of time delay estimation, how to improve the accuracy of delay difference estimation, and effective application in wireless positioning system is the focus of attention of scholars at home and abroad. After years of unremitting efforts by scholars at home and abroad, many classical algorithms that can improve the accuracy of time delay estimation have been proposed. Based on this thesis, the basic principle and method of TDOA wireless location time delay estimation algorithm are studied, and the basic algorithm is improved and optimized based on LMS adaptive filtering, quadratic correlation, Hilbert transform and other relevant theories. 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 methods of TDOA time delay estimation are studied in detail. The generalized cross-correlation method and the LMS adaptive time delay estimation method are simulated, and the correlation of some basic methods is proved. Secondly, aiming at the problem of delay accuracy, this paper proposes a delay estimation algorithm based on LMS generalized correlation Hilbert difference. Computer simulation based on LMS generalized correlation Hilbert difference algorithm is carried out to verify the estimation performance of the algorithm. Finally, aiming at the deficiency of generalized correlation Hilbert difference algorithm based on LMS, the LMS generalized correlation Hilbert difference algorithm is optimized, and the fixed step size LMS adaptive filter is transformed into variable step size LMS adaptive filter. Based on the variable step size LMS generalized quadratic correlation Hilbert difference delay estimation algorithm is proposed. The simulation results show that the algorithm is effective and the estimation performance is superior.
【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]:Time-of-arrival (TDOA) based wireless positioning technology is widely used in military defense construction, intelligent transportation, vehicle navigation and other fields. With the development of science and technology, wireless location technology based on TDOA will be applied to daily life. TDOA-based wireless location technology is the core of time delay estimation, how to improve the accuracy of delay difference estimation, and effective application in wireless positioning system is the focus of attention of scholars at home and abroad. After years of unremitting efforts by scholars at home and abroad, many classical algorithms that can improve the accuracy of time delay estimation have been proposed. Based on this thesis, the basic principle and method of TDOA wireless location time delay estimation algorithm are studied, and the basic algorithm is improved and optimized based on LMS adaptive filtering, quadratic correlation, Hilbert transform and other relevant theories. 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 methods of TDOA time delay estimation are studied in detail. The generalized cross-correlation method and the LMS adaptive time delay estimation method are simulated, and the correlation of some basic methods is proved. Secondly, aiming at the problem of delay accuracy, this paper proposes a delay estimation algorithm based on LMS generalized correlation Hilbert difference. Computer simulation based on LMS generalized correlation Hilbert difference algorithm is carried out to verify the estimation performance of the algorithm. Finally, aiming at the deficiency of generalized correlation Hilbert difference algorithm based on LMS, the LMS generalized correlation Hilbert difference algorithm is optimized, and the fixed step size LMS adaptive filter is transformed into variable step size LMS adaptive filter. Based on the variable step size LMS generalized quadratic correlation Hilbert difference delay estimation algorithm is proposed. The simulation results show that the algorithm is effective and the estimation performance is superior.
【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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