雷达信号截获关键技术研究

发布时间：2018-01-13 08:29

  本文关键词：雷达信号截获关键技术研究　出处：《南京航空航天大学》2014年硕士论文　论文类型：学位论文

  更多相关文章： DOA估计 空间谱插值 解模糊 空域滤波 多参数联合估计

【摘要】：本文研究了雷达信号截获中的一些关键技术,对同时到达的雷达脉冲信号,围绕DOA分选技术,进行了深入探讨。本文研究内容主要包括雷达信号脉内分析技术、雷达信号DOA估计技术以及雷达信号多参数联合估计技术。在雷达信号的DOA参数截获方面,针对经典MUSIC算法运算复杂度较高的缺点,文中提出了一种基于空间谱插值的DOA估计算法,该算法通过对时域累加离散空间谱进行一次插值运算,可得到真实谱峰位置的高效估计,显著提高算法性能,且运算复杂度低,可在硬件上实现并行、流水线操作。针对空间谱估计方法中信号源波长对阵元间距的限制,本文引入了相位干涉仪测向技术,首先给出相位干涉仪原理及鉴相算法,重点研究了相位解模糊方法。在双基线解模糊的基础上研究了基线比值法相位解模糊算法,该算法先在无模糊范围内确定各双基线的所有相位模糊数解,然后利用公共基线的解逐步缩小范围,最后确定各基线的唯一解以实现解相位模糊。在雷达信号的多参数联合估计方面,本文首先讨论了基于多时延ESPRIT算法的DOA与频率联合估计算法并对其进行改进,改进算法在同等计算复杂度的条件下不仅改善了信号DOA的估计性能,并且实现了DOA与频率的自动匹配,提高了算法的适应性。其次研究一种空域滤波引导的信号DOA、频率以及TOA联合估计方法,当多部雷达信号从不同方向同时到达接收阵列时,在全盲条件下通过参考频率对DOA进行预估计并利用其形成的导向矢量实现空域滤波,完成信源分离后依次进行信号频率和到达时间估计,并对DOA预估计值进行校准。该方法不仅可以实现参数的自动匹配,而且计算量远远小于频域滤波等算法,具有较高应用价值。
[Abstract]:In this paper, some key techniques in radar signal interception are studied. The simultaneous arrival of radar pulse signals is surrounded by DOA sorting technology. The research content of this paper mainly includes the radar signal intra-pulse analysis technology. Radar signal DOA estimation technology and radar signal multi-parameter joint estimation technology. In the aspect of radar signal DOA parameter interception, the classical MUSIC algorithm has a high computational complexity. In this paper, a DOA estimation algorithm based on spatial spectral interpolation is proposed. The algorithm can estimate the peak position of real spectrum efficiently by interpolating the accumulated discrete spatial spectrum in time domain. It can achieve parallel operation in hardware and pipeline operation, aiming at the limitation of the distance between source wavelength and cell in the spatial spectrum estimation method. In this paper, phase interferometer direction finding technology is introduced. Firstly, the principle of phase interferometer and phase detection algorithm are given. On the basis of double baseline deblurring, the phase deblurring algorithm of base-line ratio method is studied. Firstly, all phase fuzzy number solutions of each bistatic line are determined in the non-fuzzy range of the algorithm. Then the solution of common baseline is gradually reduced and the unique solution of each baseline is determined to realize the resolution of phase ambiguity. In this paper, the joint estimation algorithm of DOA and frequency based on multi-delay ESPRIT algorithm is discussed and improved. Under the same computational complexity, the improved algorithm not only improves the performance of signal DOA estimation, but also realizes the automatic matching between DOA and frequency. The adaptability of the algorithm is improved. Secondly, a joint estimation method of signal load, frequency and TOA guided by spatial filtering is studied, when multiple radar signals arrive at the receiving array from different directions at the same time. The DOA is pre-estimated by the reference frequency under the all-blind condition, and the spatial filtering is realized by the guidance vector. The signal frequency and the time of arrival are estimated in turn after the source separation is completed. The DOA pre-estimated value is calibrated. This method can not only realize the automatic matching of the parameters, but also has much less computational complexity than the frequency-domain filtering algorithm, so it has a high application value.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
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本文编号：1418250