卫星导航测控站的阵列信号测向技术应用研究

发布时间：2018-02-14 16:53

本文关键词： 阵列测向方法欺骗式干扰去噪特征分解　出处：《西安建筑科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：卫星导航测向技术是导航测控中的关键技术,具有重要的研究意义和应用前景。本文首先介绍了卫星导航测控站基本原理和常用测向方法。特别介绍了用于卫星导航测控站的传统测向方法和基于阵列天线的空间谱估计这两种常用测向方法,并分析了卫星导航测控站的阵列测向环境。讨论了低SNR环境下对空间谱估计的影响,通过预解扩提高信噪比,从而有效提高对卫星导航方位的测量精度,再通过不同阵列分别进行一维阵列测向研究与二维阵列测向研究,以上工作对后面章节的干扰环境下阵列测向方法提供了参考价值。然后针对GPS干扰环境下应用阵列测向算法进行分析与仿真。在压制式干扰环境下,利用干扰的正交投影矩阵对压制式干扰进行抑制,在应用空间谱估计方法可以准确的获得导航卫星信号的来波方向估计。但在欺骗式干扰环境下,干扰功率与导航信号功率接近,INR较低,通过降低或滤除噪声成分,从而区分出大小特征值,进而能够准确划分各个子空间,然后构建干扰阻塞矩阵抑制干扰,最终获得来波方向的估计。论文分析讨论了两种在干扰环境下的阵列测向方法的应用。最后考虑到前述阵列测向方法均是基于以特征值分解的子空间分解类算法,计算复杂度较高,为了降低其运算量,通过利用多级维纳滤波器(MSWF)的递推算法,找到一个噪声子空间或者投影子空间,用以取代协方差矩阵特征值分解划分的噪声子空间,最终实现低复杂度测向的目的。
[Abstract]:Satellite navigation technology is the key technology of navigation and control in the direction, has important significance and applications. This paper firstly introduces the basic principle of satellite navigation control station and the common algorithms. Especially introduces the traditional method for finding satellite navigation station and array antenna based on spatial spectrum estimation of the two commonly used estimation method. And analysis of the environmental monitoring station of the satellite navigation array. The effects of low SNR environment of spatial spectrum estimation is discussed, through pre despreading to improve the signal-to-noise ratio, thus effectively improve the measurement accuracy of satellite navigation and orientation, then through different array of one-dimensional and two-dimensional array of arrays of above working direction method of array interference of the environment to the later chapters provide reference value. Then according to the GPS interference environment using array direction finding algorithms are analyzed and simulated. Jamming environment to suppress jamming by using the orthogonal projection matrix interference, in the application of spatial spectrum estimation method can obtain accurate navigation satellite signal DOA estimation. But in the deception jamming environment, interference power and navigation signal power is close to that of INR is relatively low, by reducing or eliminating noise in order to distinguish the size composition, characteristic value, and can accurately divide each subspace, and then construct the interference blocking matrix of interference suppression, finally get the DOA estimation. The paper discusses the application of two kinds of interference in the environment of array direction finding method. Finally, considering the array direction finding method is based on eigenvalue decomposition subspace decomposition algorithm based on high computational complexity, in order to reduce the amount of calculation, by using multistage Wiener filter (MSWF) recursive algorithm to find a noise subspace or The person throws the shadow space to replace the noise subspace divided by the eigenvalue decomposition of the covariance matrix, and finally realizes the purpose of the low complexity direction finding.

【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN967.1

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