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Study on Application of Compressive Sensing in Radar Signal Processing

Abstract

当前各种雷达体制如相控阵雷达、宽带/超宽带雷达、合成孔径与逆合成孔 径雷达等,都采用数字化处理技术从回波中提取目标参数信息。压缩感知理论能 够用远低于奈奎斯特(Nyquist)理论的采样速率采集信号、获取离散数据,然 后通过非线性重构算法重建信号,是信号处理领域的一个革命性突破。本文对压 缩感知在雷达信号处理中的应用展开研究,拟解决目前雷达信号处理中存在的若 干问题,主要内容有: (1)远程雷达及多目标跟踪的相控阵雷达对目标跟踪数据率较低,多普勒频 率的估计存在模糊问题。本文采用了一种基于压缩感知的随机稀疏脉冲多普勒解 模糊新方法。雷达系统只需随机发射稀疏的探测脉冲,通过设计相...Digital Radar Signal Processing is used for parameters extraction in most radar system such as Phased Array Radar, Broadband/Ultra Wideband Radar, Synthetic Aperture and Inverse Synthetic Aperture Radar. Compressive Sensing (CS) Theory with its advantage of sampling signal at a lower sampling frequency in comparison with the Nyquist theory, is getting the favor of signal processing field since put...学位:工学硕士院系专业:信息科学与技术学院_通信与信息系统学号:2332011115315

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