红外与激光工程, 2018, 47 (9): 0906003, 网络出版: 2018-10-06   

典型旋翼形状参数微多普勒激光探测计算方法

Algorithm of typical rotor shape parameters by micro-Doppler laser detection
作者单位
国防科技大学 脉冲功率激光技术国家重点实验室, 安徽 合肥 230037
摘要
为实现旋翼的遥感探测分类与识别, 对基于微多普勒效应的扩展旋翼面目标激光回波特征开展研究。采用物理光学面元法构建了运动扩展旋翼的相干激光探测微多普勒回波模型, 分析计算了旋翼激光角度散射特性, 证明远场条件下旋翼各处回波反射率一致。对三种典型形状旋翼的激光探测回波进行了仿真, 通过平滑伪魏格纳维利(SPWV)变换得到了扩展旋翼的时频特征。电磁散射机理证实各频率带的产生与旋翼结构形状相关, 且桨叶数量以及整体平动速度并不影响旋翼形状在时频图中的特征表达。据此提出了旋翼形状参数的激光探测求解方法, 通过仿真验证了展弦比、根梢比以及桨尖后掠角三种参数算法的正确性, 为后续的旋翼探测识别奠定了基础。
Abstract
In order to realize the remote sensing detection classification and identification of the rotor, the laser echo feature of extended rotor target based on micro-Doppler effect was studied. The micro-Doppler coherent laser echo model of moving extended rotor was built with the panel method of physical optics. Angular scattering characteristics of laser were analyzed and calculated, which proved that rotor had the same echo reflectivity everywhere under the far field condition. Laser detection echo of three typical rotor shapes was simulated, and the time-frequency features of extended rotor were achieved by Smooth Pseudo Wegener-Villy(SPWV) transform. The electromagnetic scattering mechanism confirms that each frequency band was related to the shape of the rotor, and the number of blades does not affect the expression of features of rotor shape in time-frequency figure as well as the moving velocity. The laser detection calculation methods of rotor shape parameters, including aspect ratio, root-tip ratio and sweep angle of rotor tip, were proposed and proved to be correct through simulation, which layed the foundation for rotor identification.
参考文献

[1] Chen V C. Micro-Doppler effect of micromotion dynamics: a review[C]//Proceedings of SPIE-The International Society for Optical Engineering, 2003, 5102: 240-249.

[2] Marple S L. Large dynamic range time-frequency signal analysis with application to helicopter Doppler radar data[C]//Signal Processing and ITS Applications, Sixth International, Symposium on. IEEE Xplore, 2001: 260-263.

[3] Chen V C, Li F, Ho S S, et al. Micro-Doppler effect in radar: phenomenon, model, and simulation study[J]. IEEE Transactions on Aerospace & Electronic Systems, 2006, 42(1): 2-21.

[4] Setlur P, Ahmad F, Amin M. Helicopter radar return analysis: Estimation and blade number selection[J]. Signal Processing, 2011, 91(6): 1409-1424.

[5] Clemente C, Soraghan J J. GNSS-based passive bistatic radar for micro-doppler analysis of helicopter rotor blades[J]. Aerospace & Electronic Systems IEEE Transactions on, 2014, 50(1): 491-500.

[6] 蒋相闻, 招启军, 孟晨, 等. 直升机旋翼桨叶外形对雷达特征信号的影响[J]. 航空学报, 2014, 35(11): 3123-3136.

    Jiang Xiangwen, Zhao Qijun, Meng Chen, et al. Effect of helicopter roter blade shape on its radar signal characteristics[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(11): 3123-3136. (in Chinese)

[7] 陈鹏, 郝士琦, 赵楠翔,等. 直升机旋翼微多普勒特性分析[J]. 红外与激光工程, 2013, 42(12): 3259-3264.

    Chen Peng, Hao Shiqi, Zhao Nanxiang, et al. Micro-Doppler analysis of helicopter′s rotor blades[J]. Infrared and Laser Engineering, 2013, 42(12): 3259-3264. (in Chinese)

[8] 董晶, 陈蕊, 李小龙,等. 运动目标微多普勒效应的激光雷达相干探测及特征提取[J]. 中国激光, 2012, 39(10): 199-202.

    Dong Jing, Chen Rui, Li Xiaolong, et al. Lidar coherent detection and feature ettraction of moving target based on micro-Doppler effect[J]. Chinese Journal of Lasers, 2012, 39(10): 199-202. (in Chinese)

[9] 张志虎, 李铁, 杨小军. 脉冲激光照射下目标散射特性研究[J]. 探测与控制学报, 2007, 29(5): 63-66.

    Zhang Zhihu, Li Tie, Yang Xiaojun. The mathematical model of the target transient response of laser scattering[J]. Journal of Detection & Control, 2007, 29(5): 63-66. (in Chinese)

[10] Seddon J. Basic Helicopter Aerodynamics[M]. UK: Wiley John & Sons, 2011: 74-78.

[11] 向道朴, 周东明, 何建国. MLFMA用于直升机多普勒回波信号仿真[J]. 电波科学学报, 2010, 25(6): 1193-1198.

    Xiang Daopu, Zhou Dongming, He Jianguo. Application of MLFMA in helicopter Doppler echo simulation[J]. The Chinese Journal of Radio Science, 2010, 25(6):1193-1198.

[12] Baczyk M K, SamczynSki P, Kulpa K, et al. Micro-Doppler signatures of helicopters in multistatic passive radars[J]. Iet Radar Sonar Navigation, 2015, 9(9):1276-1283.

[13] 张麟兮, 李南京, 胡楚锋, 等. 雷达目标散射特性测试与成像诊断[M]. 北京: 中国航空出版社, 2009: 2-4.

[14] 王童, 童创明, 李西敏, 等. 扩展性微动目标回波模拟与特征参数提取研究[J]. 物理学报, 2015, 64(21): 148-156.

    Wang Tong, Tong Chuangming, Li Ximin, et al. Research on extended micro-motion target echo simulation and characteristic extraction[J]. Acta Physica Sinica, 2015, 64(21): 148-156. (in Chinese)

[15] 陈永彬, 李少东, 杨军, 等. 旋翼叶片回波建模与闪烁现象机理分析[J]. 物理学报, 2016, 65(13): 281-291.

    Chen Yongbin, Li Shaodong, Yang Jun, et al. Rotor blades echo modeling and mechanism analysis of flashes phenomena[J]. Acta Physica Sinica, 2016, 65(13): 281-291. (in Chinese)

王云鹏, 胡以华, 雷武虎, 郭力仁. 典型旋翼形状参数微多普勒激光探测计算方法[J]. 红外与激光工程, 2018, 47(9): 0906003. Wang Yunpeng, Hu Yihua, Lei Wuhu, Guo Liren. Algorithm of typical rotor shape parameters by micro-Doppler laser detection[J]. Infrared and Laser Engineering, 2018, 47(9): 0906003.

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