A Hierarchical Foreign Object Debris Detection Method Using Millimeter Wave Radar
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摘要: 强杂波背景下的弱小静止目标检测是毫米波机场跑道异物(FOD)检测雷达面临的核心问题。该文提出一种基于功率谱特征和支持向量域描述(SVDD)一类分类器的FOD分层检测算法。该算法首先利用杂波图恒虚警率(CFAR)检测器对复杂背景杂波进行杂波对消处理，针对对消后虚警过多的问题，对对消后的数据提取功率谱特征，将其转换到特征域，最后利用SVDD一类分类器在特征域实现对FOD和虚警的分类。基于实测数据的试验结果表明所提方法可以获得较好的检测性能。Abstract: Detection of stationary little targets in heavy ground clutter is the key problem facing the millimeter wave airport runway Foreign Object Debris (FOD) detection radar. This paper proposes a hierarchical FOD detection algorithm based on power spectrum feature extraction and Support Vector Domain Description (SVDD) classifier. The clutter map Constant False Alarm Rate (CFAR) detection algorithm is first utilized to suppress the complex background clutter. In order to solve the high false alarm problem after the clutter suppression, the power spectrum features are extracted to transform the radar returns into the feature domain where the FOD and false alarm are more distinguishable. Finally, the one-class SVDD classifier is utilized to categorize the FOD and false alarm into different kinds so as to reduce the false alarm rate. Experimental results based on measured data show that the proposed method can achieve good detection performance.
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MAZOUNI K, KOHMURA A, FUTASUMORI S, et al. 77 GHz FMCW radar for FODs detection[C]. Proceedings of the 77th European Radar Conference. Paris, France: 2010: 451–454. 张思睿, 葛万成, 汪亮友. 恶劣天气下可见光和红外图像融合算法设计[J]. 信息技术, 2016, 6(1): 33–36 doi: 10.13274/j.cnki.hdzj.2016.06.010ZHANG Sirui, GE Wancheng, and WANG Liangyou. Design of the image fusion algorithm with infrared image and visible image under severe weather conditions[J]. Information Technology, 2016, 6(1): 33–36 doi: 10.13274/j.cnki.hdzj.2016.06.010 雷家翔. 机场跑道异物检测系统的研究与实现[D]. [硕士论文], 电子科技大学, 2016.LEI Jiaxiang. Research and implementation of foreign object debris detection system[D]. [Master dissertation], University of Electronic Science and Technology of China, 2016. 李海翔. 机场跑道异物监测雷达目标检测算法研究[D]. [硕士论文], 电子科技大学, 2016.LI Haixiang. Research about target detection in FOD Radar[D]. [Master dissertation], University of Electronic Science and Technology of China. 2016. 牛犇. 机场跑道视频异物检测与识别关键技术研究[D]. [博士论文], 南京航空航天大学, 2015.NIU Ben. Research on key technologies for airport runway foreign object debris detection and recognition based on video[D]. [Ph.D. dissertation], Nanjing University of Aeronautics and Astronautics, 2015. ANAS Tom and VISWANATHAN R. Switched order statistics CFAR test for target detection[C]. 2008 IEEE Radar Conference, Rome, Italy, 2008: 1–5. ZATTONTA B, FARROUKI A, and BARKAT M. Automatic censoring detection using binary clutter-map estimation for non-gaussian enviroments[C]. IEEE International Conference on Signal Processing and Communications, Dubai, United Arab Emirates, 2007: 205–208. NITZBERG R. Clutter-map CFAR analysis[J]. IEEE Transaction on Aerospace and Electronic Systems, 1986, 22(4): 419–421. 李华琼, 张中仅, 王雨果, 等. CFAR方法在机场跑道FOD检测中的性能分析[J]. 无线电工程, 2015, 45(9): 53–57 doi: 10.3969/j.issn.1003-3106.2015.09.14LI Huaqiong, ZHANG Zhongjin, WANG Yuguo, et al. Performance analysis and comparison of CFAR methods for FOD detection in airport runway environment[J]. Radio Engineering, 2015, 45(9): 53–57 doi: 10.3969/j.issn.1003-3106.2015.09.14 张群, 何其芳, 罗迎. 基于贝塞尔函数基信号分解的微动群目标特征提取方法[J]. 电子与信息学报, 2016, 38(12): 3056–3062 doi: 10.11999/JEIT161036ZHANG Qun, HE Qifang, and LUO Ying. Micro-Doppler feature extraction of group targets using signal decomposition based on bessel function basis[J]. Journal of Electronics&Information Technology, 2016, 38(12): 3056–3062 doi: 10.11999/JEIT161036 杜兰, 史蕙若, 李林森, 等. 基于分数阶傅里叶变换的窄带雷达飞机目标回波特征提取方法[J]. 电子与信息学报, 2016, 38(12): 3093–3099 doi: 10.11999/JEIT161035DU Lan, SHI Huiruo, LI Linsen, et al. Feature extraction method of narrow-band radar airplane signatures based on fractional fourier transform[J]. Journal of Electronics&Information Technology, 2016, 38(12): 3093–3099 doi: 10.11999/JEIT161035 DU Lan, WANG Baoshuai, and WANG Penghui. Noise reduction method based on principal component analysis with beta process for micro-Doppler radar signatures[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(8): 4028–4040 doi: 10.1109/JSTARS.2015.2451004 王宝帅, 杜兰, 刘宏伟. 基于经验模态分解的空中飞机目标分类[J]. 电子与信息学报, 2012, 34(9): 2116–2121 doi: 10.3724/SP.J.1146.2012.00147WANG Baoshuai, DU Lan, and LIU Hongwei. Aircraft classification based on empirical mode decomposition[J]. Journal of Electronics&Information Technology, 2012, 34(9): 2116–2121 doi: 10.3724/SP.J.1146.2012.00147 刘家辰, 苗启广, 曹莹, 等. 基于混合多样性生成与修剪的集成单类分类算法[J]. 电子与信息学报, 2015, 37(2): 386–393 doi: 10.11999/JEIT140161LIU Jiachen, MIAO Qiguan, CAO Ying, et al. Ensemble one-class classifiers based on hybrid diversity generation and pruning[J]. Journal of Electronics&Information Technology, 2015, 37(2): 386–393 doi: 10.11999/JEIT140161 李龙, 刘峥. 基于训练特征空间分布的雷达地面目标鉴别器设计[J]. 电子与信息学报, 2016, 38(4): 950–957 doi: 10.11999/JEIT150786LI Long and LIU Zheng. Identifier for radar ground target based on distribution of space of training features[J]. Journal of Electronics&Information Technology, 2016, 38(4): 950–957 doi: 10.11999/JEIT150786 ZEITLER Armin, LANTERI J, MIGLIACCIO C, et al. Folded reflect arrays with shaped beam pattern for foreign object debris detection on runways[J]. IEEE Transactions on Antennas and Propagation, 2010, 58(9): 3065–3068 doi: 10.1109/TAP.2010.2052564 刘江洪, 王宝帅, 杨元安. 基于1 bit量化的视频噪声源可行性研究[J]. 电子信息对抗技术, 2016, 31(4): 83–88 doi: 10.3969/j.issn.1674-2230.2016.04.017LIU Jianghong, WANG Baoshuai, and YANG Yuanan. Study on the feasibility of 1 bit video noise generator[J]. Electronic Information Warfare Technology, 2016, 31(4): 83–88 doi: 10.3969/j.issn.1674-2230.2016.04.017 DU Lan, WANG Baoshuai, and LI Yanbing. Robust classification scheme for airplane targets with low resolution radar based on emd-clean feature extraction method[J]. IEEE Sensors Journal, 2013, 13(12): 4648–4662 doi: 10.1109/JSEN.2013.2272119 潘泓, 朱亚平, 夏思宇, 等. 基于上下文信息和核熵成分分析的目标分类算法[J]. 电子学报, 2016, 44(3): 580–586 doi: 10.3969/j.issn.0372-2112.2016.03.013PAN Hong, ZHU Yaping, and XIA Siyu. Object classification using context cue and kernel entropy component analysis[J]. Acta Electronica Sinica, 2016, 44(3): 580–586 doi: 10.3969/j.issn.0372-2112.2016.03.013 -
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