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高分辨雷达信号的平移不变KPCA特征提取算法 被引量:4
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作者 李辉 金宝龙 翟海天 《计算机仿真》 CSCD 北大核心 2012年第1期9-12,共4页
研究高分辨雷达信号特征提取,针对传统提取平移不变特征存在信息损失量大、识别的准确率低的问题,提出了一种平移不变KPCA特征提取算法。首先计算高分辨雷达信号的原点矩,并在低信息损失的前提下利用高分辨雷达信号相对原点矩的位置来... 研究高分辨雷达信号特征提取,针对传统提取平移不变特征存在信息损失量大、识别的准确率低的问题,提出了一种平移不变KPCA特征提取算法。首先计算高分辨雷达信号的原点矩,并在低信息损失的前提下利用高分辨雷达信号相对原点矩的位置来描述原信号,从而消除高分辨雷达信号的平移敏感性。然后结合KPCA特征提取算法得到平移不变的特征信号。最后应用SVM分类器对特征信号进行分类识别。实验证明,改进算法识别率高于雷达目标识别系统中的传统特征提取算法,略低于KPCA特征提取算法,且在常用雷达探测距离内都能够保持较高的识别率。 展开更多
关键词 特征提取 高分辨雷达信号 雷达目标识别
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CFAR DETECTORS FOR HIGH RESOLUTION RADAR IN NON-GAUSSIAN CLUTTER
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作者 唐劲松 朱兆达 +1 位作者 蒋兴舟 李江南 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1998年第2期98-102,共5页
For high resolution radar, the echoes of target come from several points rather than one point as in low resolution radar. In this case the target is called an extended target. This paper presents two CFAR detectors f... For high resolution radar, the echoes of target come from several points rather than one point as in low resolution radar. In this case the target is called an extended target. This paper presents two CFAR detectors for such a target in non Gaussian clutter, which are CA CFAR and OS CFAR detectors. The detection performances of the two detectors are evaluated. 展开更多
关键词 high resolution radar signal detection constant false alarm receivers non Gaussian spherical invariant random process(SIRP)
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HIGH RESOLUTION RANGE PROFILE FORMATION BASED ON LFM SIGNAL FUSION OF MULTIPLE RADARS 被引量:2
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作者 Wang Cheng Hu Weidong Du Xiaoyong Yu Wenxian 《Journal of Electronics(China)》 2007年第1期75-82,共8页
This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multipl... This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multiple radars signal fusion improving the range resolution is analyzed. With the analysis of return signals received by two radars,it is derived that the phase difference between the echoes varies almost linearly with respect to the frequency if the distance between two radars is neg-ligible compared with the radar observation distance. To compensate the phase difference,an en-tropy-minimization principle based compensation algorithm is proposed. During the fusion process,the B-splines interpolation method is applied to resample the signals for Fourier transform imaging. The theoretical analysis and simulations results show the proposed method can effectively increase signal bandwidth and provide a high resolution range profile. 展开更多
关键词 Linear Frequency Modulation (LFM) Inverse Synthetic Aperture Radar (ISAR) Signal fusion High Resolution Range (HRR) profile
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