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摘要随着现代电子，信息技术的迅速发展，在未来的信息化战争中要求各类侦查接收机必须要具有更宽的输入带宽，更高的分辨率及灵敏度，更强的抗干扰能力，同时能处理多个来波信号，能适应现代更加复杂的电磁环境。最近几十年,随着信号处理技术突飞猛进地发展,采用阵列信号处理技术实现对信号源方向的估计已成为了现代侦察系统中的关键技术。所以，了解超分辨率信号到达角（DOA）估计的相关算法尤其重要。63601
本课题研究基于DSP高分辨率的DOA估计，要求更具有实际应用价值的改进算法并进行MATLAB仿真，用实验数据验证有关算法的正确性以及分析了这些算法的估计性能。通过此课题的深入研究，学会DOA的基本原理以及一些基本方法，学会推导计算公式，并采用MATLAB或者FORTRAN语言编写源代码，再结合DSP设计，最后给出正确结果。
信号的波达方向（DOA）估计是阵列信号处理领域的一个非常重要的研究内容。信号的DOA估计算法大多是一种极值搜索法，即首先形成一个包含待估计参数的函数（一般是一个伪谱函数），然后通过对该函数进行峰值搜索，得到的极值就是信号的波达方向。波达方向估计大致可以分为四类: 传统法、子空间法、最大似然法以及将谐波恢复法和子空间法结合起来的综合法。由于子空间算法可以突破瑞利限，达到较高的分辨率，所以近年来涌现出很多基于子空间类的高分辨测向算法，比较著名的包括MUSIC, ESPRIT等算法。
关键词: 超分辨率信号到达角（DOA） 波达方向 MUSIC算法 ESPRIT算法 最大似然法
毕业设计说明书（论文）外文摘要
Title DSP-based high-resolution DOA technology research
Abstract
With modern electronics, information technology is developing rapidly,In the future requirements of all kinds of information warfare detection receiver must have a wider input bandwidth, higher resolution and sensitivity, stronger anti-interference ability, and can handle multiple incoming wave signals, more able to adapt to the modern complex electromagnetic environment.In recent decades, with the rapid development of signal processing techniques, the use of array signal processing techniques to achieve the signal source direction estimation has become the modern surveillance system key technologies.Therefore, to understand the super-resolution signal angle of arrival (DOA) estimation of the correlation algorithm is especially important.
This study is DSP-based high-resolution DOA estimation, requiring more practical application value to improve the algorithm and MATLAB simulation with experimental data validation for correctness of the algorithm and the analysis of the estimation performance of these algorithms.Through in-depth study of this topic, learn the basic principles of DOA and some basic ways to learn derivation formula, and to utilize MATLAB or FORTRAN language source code, combined with DSP design, and finally give the correct result.
DOA (DOA) estimation array signal processing is a very important field of research.Most signal DOA estimation algorithm is an extreme search method that first formed a function of the parameters to be estimated contains (usually a pseudo-spectral function), and then through the peak search function, and the resulting extreme is the signal wave up direction.DOA estimation can be roughly pided into four categories: the traditional method, subspace method, maximum likelihood method and to restore law and harmonic subspace combine consolidation.As subspace algorithm can overcome the Rayleigh limit, reach a higher resolution, so in recent years the emergence of many high-resolution subspace based direction finding algorithm, the more famous include MUSIC, ESPRIT algorithm.