Volume 9 Issue 6
Dec.  2020
Turn off MathJax
Article Contents
SHEN Chun, GAO Hang, WANG Xuesong, et al. Aircraft wake vortex parameter-retrieval system based on Lidar[J]. Journal of Radars, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046
Citation: SHEN Chun, GAO Hang, WANG Xuesong, et al. Aircraft wake vortex parameter-retrieval system based on Lidar[J]. Journal of Radars, 2020, 9(6): 1032–1044. doi: 10.12000/JR20046

Aircraft Wake Vortex Parameter-retrieval System Based on Lidar

DOI: 10.12000/JR20046
Funds:  The National Natural Science Foundation of China (61490649, 61771479, 61625108), Hunan Natural Science Foundation for Distinguished Young Scholars (2018JJ1030)
More Information
  • Aircraft wake are a couple of counter-rotating vortices generated by a flying aircraft, which can be very hazardous to a follower aircraft. The detection of it is regarded as a key issue for airport capacity improvement and air traffic safety management. To this end, we constructed a Lidar detection based aircraft wake vortex parameter-retrieval system, which can be used to retrieve the vortex-core positions and circulations from detected data. Furthermore, dynamics, scattering and Lidar echo simulation modules were built to validate the parameter-retrieval algorithms. Results show that the proposed system performs well and runs steadily, which can serve as a good tool for aircraft wake vortex characterization, prediction, and is very helpful to establish dynamic wake separation in air traffic management.

     

  • loading
  • [1]
    ROSSOW V J. Lift-generated vortex wakes of subsonic transport aircraft[J]. Progress in Aerospace Sciences, 1999, 35(6): 507–660. doi: 10.1016/S0376-0421(99)00006-8
    [2]
    VEILLETTE P R. Data show that U. S. wake-turbulence accidents are most frequent at low altitude and during approach and landing[J]. Flight Safety Digest, 2002, 21(3/4): 147.
    [3]
    ANDREWS W H, LARSON R R, and ROBINSON G H. Aircraft response to the wing trailing vortices generated by large jet transports[R]. SEE N71-30756 18-02, 1971: 115–126.
    [4]
    ASTHEIMER T, HILTON D, BALDONI C, et al. SESAR master plan[R]. DLM-0710-001-02-00, 2008.
    [5]
    Federal Aviation Administration. NextGen implementation plan 2016[R]. FAA, 2016.
    [6]
    HOLZÄPFEL F, GERZ T, KÖPP F, et al. Strategies for circulation evaluation of aircraft wake vortices measured by lidar[J]. Journal of Atmospheric and Oceanic Technology, 2003, 20(8): 1183–1195. doi: 10.1175/1520-0426(2003)020<1183:SFCEOA>2.0.CO;2
    [7]
    SMALIKHO I N, BANAKH V A, HOLZÄPFEL F, et al. Method of radial velocities for the estimation of aircraft wake vortex parameters from data measured by coherent Doppler lidar[J]. Optics Express, 2015, 23(19): A1194–A1207. doi: 10.1364/OE.23.0A1194
    [8]
    THOBOIS L P, KRISHNAMURTY R, CARIOU J P, et al. Wind and EDR measurements with scanning Doppler LIDARs for preparing future weather dependent separation concepts[C]. The 7th AIAA Atmospheric and Space Environments Conference, Dallas, USA, 2015: 1–13. doi: 10.2514/6.2015-3317.
    [9]
    YOSHIKAWA E and MATAYOSHI N. Aircraft wake vortex retrieval method on lidar lateral range–Height Indicator Observation[J]. AIAA Journal, 2017, 55(7): 2269–2278. doi: 10.2514/1.J055224
    [10]
    LI Jianbing, WANG Xuesong, and WANG Tao. Modeling the dielectric constant distribution of wake vortices[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(2): 820–831. doi: 10.1109/TAES.2011.5751228
    [11]
    LIU Zhongxun, JEANNIN N, VINCENT F, et al. Modeling the radar signature of raindrops in aircraft wake vortices[J]. Journal of Atmospheric and Oceanic Technology, 2013, 30(3): 470–484. doi: 10.1175/JTECH-D-11-00220.1
    [12]
    LI J, WANG X, and WANG T. On the validity of Born approximation[J]. Progress in Electromagnetics Research, 2010, 107: 219–237. doi: 10.2528/PIER10070504
    [13]
    LI Jianbing, WANG Xuesong, and WANG Tao. A universal solution to one-dimensional oscillatory integrals[J]. Science in China Series F: Information Sciences, 2008, 51(10): 1614–1622. doi: 10.1007/s11432-008-0121-2
    [14]
    LI Jianbing, WANG Xuesong, XIAO Shunping, et al. A rapid solution of a kind of 1D fredholm oscillatory integral equation[J]. Journal of Computational and Applied Mathematics, 2012, 236(10): 2696–2705. doi: 10.1016/j.cam.2012.01.007
    [15]
    LI Jianbing, WANG Xuesong, WANG Tao, et al. On an improved-Levin oscillatory quadrature method[J]. Journal of Mathematical Analysis and Applications, 2011, 380(2): 467–474. doi: 10.1016/j.jmaa.2011.03.055
    [16]
    Li Jianbing, WANG Xuesong, WANG Tao, et al. Delaminating quadrature method for multi-dimensional highly oscillatory integrals[J]. Applied Mathematics and Computation, 2009, 209(2): 327–338. doi: 10.1016/j.amc.2008.12.061
    [17]
    LI Jianbing, WANG Xuesong, WANG Tao, et al. An improved levin quadrature method for highly oscillatory integrals[J]. Applied Numerical Mathematics, 2010, 60(8): 833–842. doi: 10.1016/j.apnum.2010.04.009
    [18]
    李健兵, 王雪松. 飞机尾流雷达特征信号研究[M]. 长沙: 国防科技大学出版社, 2015.

    LI Jianbing and WANG Xuesong. Study on the Radar Characteristics of Aircraft Wake Vortices[M]. Changsha: National University of Defense Technology Press, 2015.
    [19]
    LI Jianbing, WANG Xuesong, WANG Tao, et al. High range resolution profile of simulated aircraft wake vortices[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(1): 116–129. doi: 10.1109/TAES.2012.6129624
    [20]
    WANG Xuesong, LI Jianbing, QU Longhai, et al. Temporal evolution of the RCS of aircraft wake vortices[J]. Aerospace Science and Technology, 2013, 24(1): 204–208. doi: 10.1016/j.ast.2011.11.008
    [21]
    LI Jianbing, WANG Tao, LIU Zhongxun, et al. Circulation retrieval of wake vortex in fog with a side-looking scanning Radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(5): 2242–2254. doi: 10.1109/TAES.2016.150635
    [22]
    JIAO Yuntao. Windshear at low altitude and flight safety[J]. Civil Aviation Economics and technology, 1994, (11): 13–14.
    [23]
    WILSON D K, OSTASHEV V E, GOEDECKE G H, et al. Quasi-Wavelet Calculations of Sound Scattering Behind Barriers[J]. Applied Acoustics, 2004, 65(6): 605–627. doi: 10.1016/j.apacoust.2003.11.009
    [24]
    张宏昇. 大气湍流基础[M]. 北京: 北京大学出版社, 2014: 161–165.

    ZHANG Hongsheng. Atmospheric Turbulence Foundation[M]. Beijing: Peking University Press, 2014: 161–165.
    [25]
    GERZ T, HOLZÄPFEL F, and DARRACQ D. Commercial aircraft wake vortices[J]. Progress in Aerospace Sciences, 2002, 38(3): 181–208. doi: 10.1016/S0376-0421(02)00004-0
    [26]
    屈龙海. 晴空和湿性大气中飞机尾流雷达散射特性的研究[D]. [博士论文], 国防科学技术大学, 2015: 29–31.

    QU Longhai. Study on the radar scattering characteristics of aircraft wake vortex in clear air and moist air[D]. [Ph. D. dissertation], National University of Defense Technology, 2015: 29–31.
    [27]
    AHMAD N N, PROCTOR F H, LIMON DUPARCMEUR F M, et al. Review of idealized aircraft wake vortex models[C]. The 52nd Aerospace Sciences Meeting, National Harbor, USA, 2014.
    [28]
    HOLZÄPFEL F. Sensitivity analysis of the effects of aircraft and environmental parameters on aircraft wake vortex trajectories and lifetimes[C]. The 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Dallas/Ft. Worth Region, USA, 2013: 7–10.
    [29]
    HOLZÄPFEL F. Probabilistic two-phase wake vortex decay and transport model[J]. Journal of Aircraft, 2003, 40(2): 323–331. doi: 10.2514/2.3096
    [30]
    李金梁. 箔条干扰的特性与雷达抗箔条技术研究[D]. [博士论文], 国防科学技术大学, 2010: 57–58.

    LI Jingliang. Study on characteristics of chaff jamming and anti - chaff technology for radar[D]. [Ph. D. dissertation], National University of Defense Technology, 2010: 57–58.
    [31]
    ZRNIC D S. Estimation of spectral moments for weather echoes[J]. IEEE Transactions on Geoscience Electronics, 1979, 17(4): 113–128. doi: 10.1109/TGE.1979.294638
    [32]
    DAUGMAN J G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters[J]. Journal of the Optical Society of America A, 1985, 2(7): 1160–1169. doi: 10.1364/JOSAA.2.001160
    [33]
    LI Jianbing, SHEN Chun, GAO Hang, et al. Path Integration (PI) method for the parameter-retrieval of aircraft wake vortex by Lidar[J]. Optics Express, 2020, 28(3): 4286–4306. doi: 10.1364/OE.382968
    [34]
    GAO Hang, LI Jianbing, CHAN P W, et al. Parameter-retrieval of dry-air wake vortices with a scanning Doppler lidar[J]. Optics Express, 2018, 26(13): 16377–16392. doi: 10.1364/OE.26.016377
    [35]
    GAO Hang, LI Jianbing, CHAN P W, et al. Parameter retrieval of aircraft wake vortex based on its max-min distribution of Doppler velocities measured by a lidar[J]. The Journal of Engineering, 2019, 2019(20): 6852–6855. doi: 10.1049/joe.2019.0539
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(3169) PDF downloads(184) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint