压缩感知在雷达目标探测与识别中的研究进展
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南京航空航天大学电子信息工程学院 南京,南京航空航天大学电子信息工程学院 南京,南京航空航天大学电子信息工程学院 南京,南京航空航天大学电子信息工程学院 南京

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国家自然科学基金。


Advances in Theory and Application of Compressed Sensing in Radar Target Detection and Recognition
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College of Electronics & Engineering, Nanjing University of Aeronautics and Astronautics,,College of Electronics & Engineering, Nanjing University of Aeronautics and Astronautics,College of Electronics & Engineering, Nanjing University of Aeronautics and Astronautics

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    摘要:

    压缩感知理论是针对采样率和计算复杂度问题的一种新的信号处理模式,它以远低于奈奎斯特频率对信号进行采样,并能准确重构出原始信号。随着宽带高分辨雷达技术发展,目标相对于背景的高度稀疏,与复杂的雷达系统、海量数据呈现极度的不平衡,压缩感知是有效地减弱这种不平衡的可能技术之一。以雷达稀疏信号的压缩测量及重构为主线,本文综述了压缩感知理论在雷达目标探测与识别中的研究进展,分析了压缩感知理论在PD雷达、穿墙雷达、MIMO雷达、雷达目标参数估计、雷达成像,以及目标识别等潜在应用,描述了国内外的相关研究进展。并对研究中现存的难点问题进行了探讨,展望了未来的研究方向。

    Abstract:

    Compressed sensing is a new paradigm in signal processing that trades sampling frequency for computing power and allows accurate reconstruction of signals sampled at rates many times less than the conventional Nyquist frequency. Today, modern radar systems operate with high bandwidths and high resolution. Compared to complex radar system and mass data, often only a small amount of target parameters is the final output. Compressed sensing is one of good means to effectively reduce data size. This paper reviews the latest developments of compressed sensing in radar target detection and recognition and introduces the key technical problems of design of measurement matrix and reconstruction algorithm for sparse signal. Several possible applications are considered: PD radar, through wall radar, MIMO radar, radar target parameter estimation, radar imaging and radar target detection and recognition system. Then this paper also discusses the existing difficult problems in the study and looks into the future research directions on compressive sensing applied to radar.

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张弓,杨萌,张劲东,陶宇.压缩感知在雷达目标探测与识别中的研究进展[J].数据采集与处理,2012,27(1):

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  • 收稿日期:2011-09-22
  • 最后修改日期:2011-11-26
  • 录用日期:2012-05-23
  • 在线发布日期: 2012-08-21