毕业设计（论文）题目：基于压缩感知的SAR成像算法研究
学 院：信息与电子学院
专 业： 信息工程
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摘 要
阿里木事迹压缩感知是近年来出现的一种新颖的理论，该理论指出如果信号在某个变换域是稀疏的或可压缩的，就可以利用一个与变换基不相关的观测矩阵将变换所得的高维信号投影到一个低维空间上，根据这些少量的观测值，通过求解凸优化问题实现信号的精确重构。软轴
合成孔径雷达（SAR）是一种高分辨的成像雷达，它不受气候和昼夜影响，能够全天候、全天时、远距离的进行成像，具有大范围观测、可变视角以及良好的穿透能力等特点，在军用和民用领域有着广泛的应用。
随着对雷达图像分辨率的需求不断提高，以香农采样定理为基础的信号处理框架对采样速度和数据处理速度的要求也越来越高，因此给数据存储和传输系统带来了沉重负担。压缩感知理论能够降低数据量，因此对于稀疏场景的SAR成像，可将其与压缩感知相结合，有效的减缓了数据量大所导致的存储压力大的问题。
本文介绍了压缩感知的概念与原理以及脉冲压缩的基本原理，研究了合成孔径雷达成像的基本原理，并将其压缩感知相结合。最后进行了仿真实验，实现了基于脉冲压缩的SAR成像和基于压缩感知的SAR成像。
冯永杰关键词：压缩感知；合成孔径雷达成像；脉冲压缩
Abstract
Compressed Sensing (CS) is 牦牛骨a novel theory in recent years. The theory suggests that if the signal is sparse or compressible in a transform domain, we can use an observation matrix which is not related with transformation basis to project the high-dimensional transformed signal to a low dimensional space. According to these few observations, the signal can be accurate reconstructed by solving a convex optimization problem.
Synthetic Aperture Radar (SAR) is a sort of high resolution imaging radar．Using SAR we call obtain radar images independent of all time，all weather, and long distance conditions，it provide multi-bands，huge-range observation and high resolution image．So it has a wide application in the field敏感性分析s of military and civilian．
With the increasing demand in radar image resolution, signal processing framework based on the Shannon sampling theorem has become increasingly dem
anding the sampling speed and data processing speed, thereby bringing great difficulties to storage, transmission. CS theory can reduce the amount of data, so for sparse scene, we can combine it with SAR imaging to solve the problem of storing pressure caused by the amount of data.
This article describes the concept of CS and pulse compression, studies the basic principles of SAR imaging and combines it with CS theory斯皮尔博格. Finally, the simulation experiment is conduct to realize the SAR imaging based on pulse compression and CS theory.
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