This paper reports the classification of helicopters, propeller-driven aircraft, and turbojet based on differences in their time-domain modulation periods using a conventional radar system. First, we determine the modulation periods of their time-domain echoes. Then, based on the differences in the time-domain modulation periods, we propose a method for the extraction of time-domain correlation features. Finally, based on the simulated and measured data, via a support vector machine classifier, it is proved that the time-domain correlation features can yield the good classification performance, even with the relatively low pulse repetition frequency, which may induce the ambiguity in Doppler-frequency domain.
杜 兰, 李林森, 李玮璐, 王宝帅, 史蕙若. 基于时域回波相关性特征的飞机目标分类方法[J]. 雷达学报, 2015, 4(6): 621-629.
Du Lan, Li Lin-sen, Li Wei-lu, Wang Bao-shuai, Shi Hui-ruo. Aircraft Target Classification Based on Correlation Features from Time-domain Echoes. JOURNAL OF RADARS, 2015, 4(6): 621-629.
Chen V C. The Micro-Doppler Effect in Radar[M]. USA:Artech House, 2011: 18-22.
[2]
张群, 罗迎, 何劲. 雷达目标微多普勒效应研究概述[J]. 空军工程大学学报(自然科学版), 2011, 12(2): 22-26.Zhang Qun, Luo Ying, and He Jin. Review of the researcheson Micro-Doppler effect of radar targets[J]. Journal of AirForce Engineering University (Natural Science Edition),2011, 12(2): 22-26.
[3]
Nanzer J A and Rogers R L. Bayesian classification ofhumans and vehicles using Micro-Doppler signals from ascanning-beam radar[J]. IEEE Microwave and WirelessComponents Letters, 2009, 19(5): 338-340.
[4]
李彦兵, 杜兰, 刘宏伟, 等. 基于微多普勒特征的地面目标分类[J]. 电子与信息学报, 2010, 32(12): 2848-2853.Li Yan-bing, Du Lan, Liu Hong-wei, et al.. Ground targetsclassification based on micro-Doppler effect[J]. Journal ofElectronics & Information Technology, 2010, 32(12):2848-2853.
[5]
王璐, 刘宏伟. 基于时频图的微动目标运动参数提取和特征识别的方法[J]. 电子与信息学报, 2010, 32(8): 1812-1817.Wang Lu and Liu Hong-wei. Method for micro-motiontarget recognitong and motion parameter extraction basedon time-frequency analysis[J]. Journal of Electronics &Information Technology, 2010, 32(8): 1812-1817.
[6]
关永胜, 左群声, 刘宏伟, 等. 空间椎体目标微动特性分析与识别方法[J]. 西安电子科技大学学报(自然科学版), 2011, 38(2):105-111.Guan Yong-sheng, Zuo Qun-sheng, Liu Hong-wei, et al..Analysis of micro-motion characteristic and recognition ofspace cone-shaped target[J]. Journal of Xidian University,2011, 38(2): 105-111.