基于压缩感知测量值的扩展目标检测

发布时间：2018-03-07 04:30

本文选题：压缩感知　切入点：复杂的近似消息传递　出处：《系统工程与电子技术》2014年12期 　论文类型：期刊论文

【摘要】：针对宽带雷达扩展目标检测这一问题,提出了一种在复高斯白噪声背景下基于压缩感知(compressed sensing,CS)测量值的检测新方法。新方法将CS理论引入到宽带雷达扩展目标检测领域,首先通过构造sinc基来稀疏表示扩展目标的一维距离像(high resolution range profile,HRRP),再由复杂的近似消息传递(complex approximate message passing,CAMP)算法从被复高斯白噪声污染的CS测量值中得到HRRP由sinc基线性表示的相关系数,最后由基于l-0范数的检测器实现扩展目标检测,同时经过推导得到虚警概率和检测概率。基于实测宽带雷达回波数据的实验结果表明,所构造的sinc基可以较好地稀疏表示扩展目标的HRRP;和传统的检测器相比,所提出的新方法可以更好地实现扩展目标检测。
[Abstract]:Aiming at the problem of extended target detection of wideband radar, a new method based on compressed sensing CSS measurement value under the background of complex Gao Si white noise is proposed. The CS theory is introduced into the field of extended target detection of wideband radar. Firstly, the sinc basis is constructed to sparse represent the one-dimensional resolution range profile of the extended target. Then the correlation coefficient of HRRP expressed by sinc basis is obtained from the CS measurements of the complex approximate message passing by complex approximate messaging algorithm from the CS measurements of the white noise contaminated by the complex Gao Si. Finally, the extended target detection is realized by the detector based on l-0 norm, and the false alarm probability and detection probability are derived. The experimental results based on the measured wideband radar echo data show that, The proposed sinc base can sparse represent the extended target, and compared with the traditional detector, the proposed new method can achieve the extended target detection better.
【作者单位】：西安电子科技大学雷达信号处理国家重点室;
【基金】：国家自然科学基金(61271297,61272281) 高等学校博士学科点专项科研基金(20110203110001) 国防预研基金(9140A07020913DZ01001) 航空科学基金(20110181006)资助课题
【分类号】：TN957.51

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