脉冲信号TOA估计方法研究

发布时间：2018-02-09 03:35

本文关键词： 电子侦察 TOA估计相关算法倒序累加小波变换　出处：《哈尔滨工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着雷达技术的发展,线性调频信号、非线性调频信号、相位编码信号以及频率编码信号等越来越多的出现在电子侦察领域。因此,如何在电子侦察领域估计多种形式的脉冲信号的到达时间(TOA)已成为一个研究重点。本课题主要对多种形式信号的TOA估计方法进行了研究。研究内容概括如下:首先,研究了信号TOA估计的基本概念,依据信号可用信息的数量对信号TOA估计做出了分类,并提出了几种适用于不同条件下的信号TOA估计方法,最后从算法性能和适用范围上对这几种算法做了比较全面的总结,为后文的研究奠定了理论基础。然后,研究了自相关检测法,通过此方法估计信号的起、止时间,在此方法基础上研究了不同形式信号的参数估计问题,通过获得的信号参数得到基带信号,为后续算法提供了研究基础。进而,本文在第三章的基础上进一步研究,提出了一种适合多种信号形式的信号TOA估计算法--倒数相关累加算法。本算法的基本思路是:首先将之前研究得到的基带信号倒序累加取模,然后对上述结果进行线性回归估计形成峰值点,根据检测的峰值点求出信号TOA的精估计。本文利用该算法分别对不同形式的信号进行了理论研究和仿真分析,得出了信号的估计精度,实验结果证明倒序相关累加算法的估计精度有一定的提高。最后,本文进一步研究了一种性能更好的Haar小波变换算法。本算法在之前研究的基础上对基带信号进行小波变换并取模,根据检测出的极值点获得信号TOA的精估计。通过仿真验证分析算法性能,本算法的估计精度和运算速度都优于倒序相关累加法,具有较好的检测性能。
[Abstract]:With the development of radar technology, more and more linear frequency modulated signals, nonlinear frequency modulated signals, phase coded signals and frequency coded signals appear in the field of electronic reconnaissance. How to estimate the time of arrival (DOA) of various forms of pulse signals in the field of electronic reconnaissance has become a research focus. In this paper, the methods of TOA estimation for various forms of signals are studied. The research contents are summarized as follows: first of all, This paper studies the basic concept of signal TOA estimation, classifies signal TOA estimation according to the number of signal available information, and puts forward several signal TOA estimation methods suitable for different conditions. Finally, the performance and application range of these algorithms are summarized comprehensively, which lays a theoretical foundation for the later research. Then, the autocorrelation detection method is studied to estimate the start and stop time of the signal. On the basis of this method, the parameter estimation problem of different signal forms is studied. The baseband signal is obtained by the obtained signal parameters, which provides the basis for further research. In this paper, a signal TOA estimation algorithm named reciprocal correlation accumulation algorithm is proposed, which is suitable for various signal forms. The basic idea of this algorithm is: firstly, the former baseband signal is accumulated in reverse order, Then the peak point is obtained by linear regression estimation of the above results, and the precise estimation of the signal TOA is obtained according to the detected peak point. In this paper, the theoretical research and simulation analysis of different forms of signals are carried out by using the algorithm. The estimation accuracy of the signal is obtained, and the experimental results show that the estimation accuracy of the inverted order correlation accumulation algorithm is improved to a certain extent. Finally, In this paper, a better Haar wavelet transform algorithm is further studied. According to the detected extremum, the accurate estimation of the signal TOA is obtained, and the performance of the algorithm is verified by simulation. The estimation accuracy and the operation speed of the algorithm are better than that of the inverted correlation accumulation method, and the algorithm has better detection performance.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN971

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