摘要合成孔径雷达(SAR)是一种高分辨率成像雷达。它通过对宽带信号的脉冲压缩提高距离向分辨率，并通过方位上的聚焦提高方位向分辨率。
针对反雷达伪装微波成像的应用需求，实验室研制了一套连续波频率阶跃体制地面合成孔径雷达，可对场外各种伪装目标进行高分辨一维及二维成像。本论文主要针对上述成像系统进行成像算法的探究，采用非线性空间谱估计(DOA)即超分辨技术改善在系统带宽内处理空间信号的估计精度和分辨率。63779
本文主要工作：
1. 完成了基于二维FFT的的基本成像算法，并进行了系统验证。
2. 完成了MUSIC算法和空间平滑MUSIC算法的仿真，研究了算法的特性，并结合系统实测结果进行验证。
3. 完成了ESPRIT算法及其空间平滑算法的仿真，并用系统的实测数据进行了验证。
4. 熟悉并验证了RELAX算法的性能。
最后分析比较了三种算法各自的优缺点，针对系统实际要求，采用RELAX算法能够比较好的满足要求。
毕业论文关键词 合成孔径 算法 MATLAB DOA估计
毕业设计说明书（论文）外文摘要
Title The research of high-resolution Synthetic Aperture Radar algorithm about continuous step frequency system
Abstract Synthetic Aperture Radar is a kind of high-resolution imaging radar.SAR improves the range resolution by the wideband signal pulse compression for anti-radar camouflage microwave imaging application requirements.The lab developed a system of continuous-wave step frequency ground synthetic aperture radar. The radar can target a variety of camouflage goals and have high-resolution imaging in one-dimensional and two-dimensional. In this thesis, the imaging system for imaging algorithms is inquiried. Including the use of target DOA estimation to improve the measurement resolution of the target.
This major work of this paper is bellowing:
1. the two-dimensional FFT-based algorithm for basic imaging is completed. And the system verification is conducted
2.The MUSIC algorithm and spatial smoothing MUSIC algorithm is completed and simulated.
3. The ESPRIT algorithm and its spatial smoothing algorithm simulation is completed. And the measured data of the system has been used to verify.
4.Research the performance of RELAX algorithm
Finally，the advantages and disadvantages of each of the three algorithms is analysised and compared. According to the actual requirements for the system，the MUSIC algorithm is used.
Keywords SAR Algorithm Matlab DOA
1 引言 1
1．1 研究背景 1
1．3 本文的主要工作和安排 3
2 地面合成孔径雷达成像系统组合和工作原理 3
3 基本成像算法 6
3．1 距离向成像原理 6
3．2 方位向成像原理 8
3．3 合成阵列近场聚焦处理 10
3．4 系统成像实验结果 11
4 基于特征分解的超分辨算法 19
4．1 MUSIC算法原理 19
4．2 前后空间平滑MUSIC算法数学模型及推导 MATLAB连续波频率步进体制合成孔径雷达高分辨算法研究:http://www.751com.cn/tongxin/lunwen_70536.html