基于模态函数特征谱的海洋小目标检测
发布时间：2019-02-28 17:10
【摘要】：经验模态分解算法在海杂波抑制和目标检测方面具有应用潜力,但如何实现模态函数自动筛选和判别是算法的关键问题。通过分析模态函数谐波模型,提取其信号特征谱,选取检测量实现目标自动检测。首先,对雷达回波进行复数经验模态分解;然后对得到的各个内模分量提取特征谱,并根据特征谱分布情况得到散布特征;最后基于散布特征在各个内模函数间的分布差异实现目标检测。实测微波多普勒雷达数据处理结果表明,目标检测结果和实际情况一致,且在一定的虚警率约束下检测概率较传统检测算法有一定提高,为雷达海洋目标检测提供了新方案。
[Abstract]:The empirical mode decomposition (EMD) algorithm has potential applications in sea clutter suppression and target detection, but how to automatically select and discriminate modal functions is the key problem of the algorithm. By analyzing the harmonic model of modal function, the characteristic spectrum of the signal is extracted, and the automatic detection of the target is realized by selecting the detection method. Firstly, the radar echo is decomposed by complex empirical mode, and then the characteristic spectrum is extracted from each internal model component, and the scattering feature is obtained according to the distribution of the characteristic spectrum. Finally, the target detection is realized based on the distribution difference among the internal model functions. The data processing results of the measured microwave Doppler radar show that the target detection results are consistent with the actual situation, and the detection probability under the constraint of a certain false alarm rate is higher than that of the traditional detection algorithm, which provides a new scheme for radar ocean target detection.
【作者单位】： 武汉大学电子信息学院;武汉大学地球空间信息技术协同创新中心;
【基金】：国家自然科学基金资助项目(41376182,41506201) 湖北省科技支撑计划项目(2014BEC057) 国家重点研发计划课题(2016YFC1400504) 海洋公益性行业科研专项重大项目(201205032)
【分类号】：TN957.51
，
本文编号：2431991
[Abstract]:The empirical mode decomposition (EMD) algorithm has potential applications in sea clutter suppression and target detection, but how to automatically select and discriminate modal functions is the key problem of the algorithm. By analyzing the harmonic model of modal function, the characteristic spectrum of the signal is extracted, and the automatic detection of the target is realized by selecting the detection method. Firstly, the radar echo is decomposed by complex empirical mode, and then the characteristic spectrum is extracted from each internal model component, and the scattering feature is obtained according to the distribution of the characteristic spectrum. Finally, the target detection is realized based on the distribution difference among the internal model functions. The data processing results of the measured microwave Doppler radar show that the target detection results are consistent with the actual situation, and the detection probability under the constraint of a certain false alarm rate is higher than that of the traditional detection algorithm, which provides a new scheme for radar ocean target detection.
【作者单位】： 武汉大学电子信息学院;武汉大学地球空间信息技术协同创新中心;
【基金】：国家自然科学基金资助项目(41376182,41506201) 湖北省科技支撑计划项目(2014BEC057) 国家重点研发计划课题(2016YFC1400504) 海洋公益性行业科研专项重大项目(201205032)
【分类号】：TN957.51
，
本文编号：2431991
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