多普勒激光雷达的飞机尾涡识别方法
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摘要
为了提高民航安全和飞行效率,实现对尾涡的准确识别,对飞机尾涡的空气动力学理论,特别是经典的Hallock-Burnham尾涡速度数学模型进行了分析研究。结合多普勒激光雷达探测涡流风场径向速度的原理,建立了雷达飞机尾涡探测的径向速度标准模型,引入滑动窗口思想,提出一种基于波形相似度匹配的方法,对尾涡进行自动识别,并给出了详细的算法流程;利用实测的激光雷达风场及雷达底层数据和假设检验方法对该识别方法进行了理论分析和实验验证。结果表明,该算法对飞机尾涡的有效识别率为90%。研究结果对进一步的尾涡监测具有一定参考价值。
In order to improve civil aviation safety and flight efficiency and realize accurate identification of wake vortex, aerodynamic theory of aircraft tail vortex, especially the classical Halock-Burnham wake velocity mathematical model was analyzed and studied. One standard radial velocity model for radar aircraft wake detection was established by using the principle of Doppler lidar to detect the radial velocity of vortex wind field. The idea of sliding window was introduced. A method based on waveform similarity matching was proposed to identify the wake vortex automatically. The detailed algorithm flow was also given. The recognition method is theoretically analyzed and experimentally verified by using the measured data of lidar wind field and the hypothesis testing method. The results show that the effective recognition rate of this algorithm for aircraft wake vortex is 90%. The results of the study have some reference value for further wake monitoring.
In order to improve civil aviation safety and flight efficiency and realize accurate identification of wake vortex, aerodynamic theory of aircraft tail vortex, especially the classical Halock-Burnham wake velocity mathematical model was analyzed and studied. One standard radial velocity model for radar aircraft wake detection was established by using the principle of Doppler lidar to detect the radial velocity of vortex wind field. The idea of sliding window was introduced. A method based on waveform similarity matching was proposed to identify the wake vortex automatically. The detailed algorithm flow was also given. The recognition method is theoretically analyzed and experimentally verified by using the measured data of lidar wind field and the hypothesis testing method. The results show that the effective recognition rate of this algorithm for aircraft wake vortex is 90%. The results of the study have some reference value for further wake monitoring.
引文
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[12] HUANG J Ch, SUN Y W, XU Y, et al. Radar signal fast recognition based on the principle of time series comparability[J]. Electronic Information Warfare Technology, 2012, 27(5):1-5 (in Chinese).
[13] WU Y H, HU Y H, DAI D Ch, et al. Research on the technique of aircraft wake vortex detection based on 1.5μm Doppler lidar[J]. Acta Photonica Sinica, 2011, 40(6):811-817(in Chinese).
[14] HU Y H, WU Y H. Study on the characteristic of aircraft wake vortex and lidar detection technique[J]. Infrared & Laser Engineering, 2011, 40(6):1063-1069(in Chinese).
[15] FENG J Zh, LIANG J Y, ZHENG S L, et al. Correlction coefficient method for vehicle road simulated load signal screening[J]. Journal of Mechanical Strength,2018,40(1):50-54(in Chinese).
[16] QIAO X Q, CHEN D H, WANG Sh L. Joint estimation of modulation and SNR via method of moments and Kolmogorov-Smirnov test [J]. Journal of Information Engineering University, 2017,18(4):399-402(in Chinese).
[2] CROW S C. Stability theory for a pair of trailing vortices[J]. AIAA Journal, 1970, 8(12):2172-2179.
[3] IVANOV A V, LEBEDEV A V, OSTROVSKII L A, et al. Experimental investigation of the motion of laminar vortex pairs in a stratified fluid[J]. Fluid Dynamics, 1987, 22(2):322-325.
[4] MURPHY B, O'CALLAGHAN J, FOX M, et al. Overview of the structures investigation for the american airlines flight 587 investigation[C]//Structural Dynamics and Materials Conference. Washington DC,USA:American Institute of Aero-nautics and Astronautics, 2013:3369-3373.
[5] FEDERAL AVIATION ADMINISTRATION. Official accident investigation report[EB/OL]. (2009-2-25)[2018-2-13].http://asndata.aviation-safety.net/reports/2009/20090225-0_B738_TC-JGE.sheml.
[6] INTERNATIONAL CIVIL AVIATION ORGANIZATION. Air regulations and air traffic services[DB/CD]. Beijing:Air Traffic Management Bureau of CAAC, 2000:1-289.
[7] INTERNATIONAL CIVIL AVIATION ORGANIZATION. Air traffic service manual (ICAO9426-AN/924) [DB/CD]. Beijing:Air Traffic Management Bureau of CAAC, 1999:1-117.
[8] XU Sh L, HU Y H, WU Y H. Identification of aircraft wake vortex based on Doppler spectrum features[J]. Journal of Optoelectronics·Laser, 2011, 22(12):1826-1830(in Chinese).
[9] LI C, LIU J W, ZHAO P E, et al. Correction method of tilt wind field of mobile wind lidar[J]. Laser Techonlogy, 2017, 41(3): 385-390(in chinese).
[10] CHOROBA P. Comprehensive study of the wake vortex phenomena to the assessment of its incorporation to ATM for safety and capacity improvements[D]. Zilina, Slovak Republic:University of Zilina, 2006:1-184.
[11] FREHLICH R, SHARMAN R. Maximum likelihood estimates of vortex parameters from simulated coherent doppler lidar data[J]. Journal of Atmospheric & Oceanic Technology, 2005, 22(22):117-130.
[12] HUANG J Ch, SUN Y W, XU Y, et al. Radar signal fast recognition based on the principle of time series comparability[J]. Electronic Information Warfare Technology, 2012, 27(5):1-5 (in Chinese).
[13] WU Y H, HU Y H, DAI D Ch, et al. Research on the technique of aircraft wake vortex detection based on 1.5μm Doppler lidar[J]. Acta Photonica Sinica, 2011, 40(6):811-817(in Chinese).
[14] HU Y H, WU Y H. Study on the characteristic of aircraft wake vortex and lidar detection technique[J]. Infrared & Laser Engineering, 2011, 40(6):1063-1069(in Chinese).
[15] FENG J Zh, LIANG J Y, ZHENG S L, et al. Correlction coefficient method for vehicle road simulated load signal screening[J]. Journal of Mechanical Strength,2018,40(1):50-54(in Chinese).
[16] QIAO X Q, CHEN D H, WANG Sh L. Joint estimation of modulation and SNR via method of moments and Kolmogorov-Smirnov test [J]. Journal of Information Engineering University, 2017,18(4):399-402(in Chinese).
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