【作者】 鹿浩；

【导师】 曹宁；

【作者基本信息】 河海大学 ， 信号与信息处理， 2007， 硕士

【摘要】 本文应用现代信号处理技术和现代模式识别技术的方法主要研究了基于高分辨雷达一维距离像的雷达目标识别问题，研究的目的在于降低高分辨雷达目标识别算法的复杂性和提高目标识别的准确性，为高分辨雷达智能信号处理的发展提供研究基础。主要内容如下： 首先对当前基于高分辨一维距离像进行雷达目标识别的技术做了回顾和阐述，指出了雷达目标识别研究过程典型的误区及关键问题。 研究了高分辨雷达目标一维距离像的原理及仿真方法并对高分辨雷达一维距离像的姿态敏感性进行了分析。分析了高分辨雷达杂波的特性，研究了高分辨雷达杂波仿真的经典方法，提出了将神经网络方法应用到高分辨雷达杂波仿真中去，给出了经验迭代方法及自然梯度方法在雷达杂波仿真中的具体应用，并分析了这两种方法较经典方法的改进之处。 在研究了基于高分辨雷达一维距离像的雷达目标三维成像方法的基础上，介绍了基于独立分量分析(ICA)方法的雷达目标三维结构信息的特征提取方法；讨论了这种方法的局限性，给出了基于聚类分析方法和基于量化统计的雷达目标三维成像的改进算法，给出仿真结果并进行比较分析。 最后，总结了本文的研究工作，指出了需要进一步解决的问题。更多还原

【Abstract】 In this paper, the problem of recognition of radar target using high resolution range profiles is mainly studied by the means of techniques in modern signal process and in modern pattern recognition. The aim is to make the arithmetic of high resolution radar target recognition have less complexity and identify targets more accuracy. In the paper, there are:At first, it makes a brief introduction to the techniques in recognition of radar target using high resolution range profiles. Some representative misleading areas and key points in the process of the study on recognition of radar target are pointed out.The principle and simulation method of high resolution range profiles is studied,and the pose sensibility of range profiles is investigated. After introducing the characteristics and classic simulation method of high resolution radar clutter, a neural network type empirical iteration method and a neural network Trained by natural gradient algorithm is proposed to simulate correlated non-Gaussian radar clutter by zero-memory nonlinearities (ZMNL).In the paper, a method is presented which gets radar target high dimensional structure information from one dimensional range profiles based on Independent Component Analysis (ICA). Then after discussing the limitations of ICA, two modified algorithms of radar target 3D imaging using clustering analysis and quantization statistical analysis are proposed. The emulation results are presented, analyzed and compared.In conclusion, the main works of the dissertation are summarized and the future research areas are pointed out.更多还原