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GNSS匹配谱干扰的来波方向估计算法研究

发布时间:2018-11-06 17:53
【摘要】:GNSS在军事上的广泛应用导致了愈演愈烈的“导航战”。匹配谱干扰作为一种有效的宽带干扰类型,已得到干扰实施方的广泛使用。通过干扰的来波方向(DOA)估计,一方面可以定位干扰源从而采取相关措施,另一方面也可以通过相关算法在干扰方向上形成零陷从而达到抑制干扰的目的。随着阵列信号处理技术的不断发展,目前关于窄带信号的高分辨DOA估计算法已经比较成熟,国内外学者将研究的重点转向了宽带信号的DOA估计算法上。目前,针对宽带信号的DOA估计算法的运算量都比较大,复杂度也比较高,而且可估计干扰源数目受限于阵列的自由度。基于此背景,本文对GNSS匹配谱干扰的来波方向估计算法进行了如下研究。首先提出了单个匹配谱干扰的来波方向估计算法。在分析GNSS匹配谱干扰特性的基础上,提出了平方聚焦的思想,将匹配谱干扰来波方向估计问题转变成单频干扰的来波方向估计问题。论文从算法的实现复杂度、有效性、估计性能等方面进行了分析比较和仿真,结果表明新算法在减小运算量的前提下实现了来波方向的高精度估计。其次对基于高阶IIR陷波器的多信号分离算法进行了研究。在分析二阶IIR陷波器性能的基础上,采用级联的形式扩展研究了高阶IIR陷波器的性能,并利用其能抑制多个单频干扰的特点提出了多信号分离算法。该算法的提出为多个匹配谱干扰的来波方向估计算法的研究提供了前提基础。本文最后在前述两个算法研究的基础上研究了多个匹配谱干扰的来波方向估计算法。通过平方聚焦的方法,使得N个匹配谱干扰变成N个单频干扰。然后基于多信号分离算法,依次用高阶IIR陷波器抑制其中N-1个单频干扰,只保留一个单频干扰,从而将多个匹配谱干扰来波方向估计问题转变成为了单个单频干扰来波方向估计的问题。理论分析和仿真实验结果表明,新算法相对于传统算法具有明显优势:结构更加简单、运算量相对减小以及可估计干扰源数目不再受限于阵列的自由度等。本文上述的研究成果为GNSS匹配谱干扰的来波方向估计问题提供了一种新颖的解决方案。
[Abstract]:The widespread use of GNSS in the military has led to a growing "navigation war". As an effective type of wideband interference, matched spectral interference has been widely used by interference operators. Based on the (DOA) estimation of the interference direction, the interference source can be located and relevant measures can be taken on the other hand, the interference can be suppressed by forming zero trapping in the interference direction by the correlation algorithm. With the development of array signal processing technology, the high-resolution DOA estimation algorithms for narrowband signals have been mature. The research focus of domestic and foreign scholars has shifted to the wideband signal DOA estimation algorithm. At present, the DOA estimation algorithms for wideband signals have large computational complexity and high complexity, and the number of interference sources is limited by the degree of freedom of the array. Based on this background, the direction estimation algorithm of GNSS matched spectral interference is studied as follows. First, an algorithm for direction estimation of single matched spectral interference is proposed. Based on the analysis of the characteristics of GNSS matching spectral interference, the idea of square focusing is proposed, which transforms the direction estimation of matched spectral interference into that of single frequency interference. In this paper, the complexity, efficiency and performance of the algorithm are compared and simulated. The results show that the new algorithm can estimate the direction of the wave with high accuracy while reducing the computational complexity. Secondly, the multi-signal separation algorithm based on high-order IIR notch is studied. Based on the analysis of the performance of the second-order IIR notch, the performance of the high-order IIR notch is studied by cascaded expansion, and a multi-signal separation algorithm is proposed based on its ability to suppress multiple single-frequency interference. The proposed algorithm provides a prerequisite for the research of multiple matching spectral interference estimation algorithms. In the end, based on the above two algorithms, the direction estimation algorithms for multiple matched spectral disturbances are studied. By square focusing method, N matched spectral interference is changed into N single frequency interference. Then, based on the multi-signal separation algorithm, a high-order IIR notch is used to suppress N-1 single-frequency interference, and only one single-frequency interference is retained. Thus, the direction estimation problem of multiple matched spectral disturbances is transformed into the direction estimation problem of single frequency interference. The theoretical analysis and simulation results show that the new algorithm has obvious advantages over the traditional algorithms, such as simpler structure, less computation and the fact that the estimated number of interference sources is no longer limited by the degree of freedom of the array. The results of this paper provide a novel solution for the direction estimation of GNSS matched spectral interference.
【学位授予单位】:国防科学技术大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN967.1;TN911.23

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