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Application and Research Of Mapping Function Method In Radar Target Positioning System

Published:17 May 2021Publication History

ABSTRACT

In the radar positioning system, the unevenness of the atmospheric medium causes the deflection of the electromagnetic wave in the propagation process, which reduces the positioning accuracy of the radar, so it is necessary to correct the atmospheric refraction error for the radar's positioning requirement of fast positioning and high precision. Based on the method of correcting atmospheric refraction error by mapping function, the target's distance is regarded as the product of mapping function and altitude, and the application of mapping function in radar target positioning system is studied in order to reduce the complexity of positioning method and the dependence on atmospheric parameters, and an inversion method is used to study the change trends of mapping function's coefficients with altitude. Using the radar positioning environment established by Hopfield model, and taking the calculation result of raying tracing method as the radar observation data, the method's accuracy is studied. The results show that the mapping function method has research and application value in locating high elevation targets, and the accuracy of the positioning method is determined by the altitude and elevation angle of target. At a certain altitude, the closer the target is, the larger the elevation angle is, the smaller the positioning error is and the better the positioning effect is.

References

  1. Yu Z , Liping G . Current Status and Prospect of Researches on Atmospheric Refraction Error Correction Method in Radar System[J].journal of henan normal university(natural science edition), 2016Google ScholarGoogle Scholar
  2. Zhao Jun,Wang Xijing,Zhang Hua,et a1.Correction of tropospheric refraction error of tracking data and error analysis[J].Journal of Spacecraft TT&C Technology,2014,33(1):25—29.Google ScholarGoogle Scholar
  3. Wang Xuliang,Dai Zhengxu,Chen Hongying.An atmospheric refractivity model based on maritime radiosonde data[J] Journal of Spacecraft TT&C Technology,2015,34(1):36—41.Google ScholarGoogle Scholar
  4. H, S, Hopfield. Tropospheric Effect on Electromagnetically Measured Range: Prediction from Surface Weather Data[J]. Radio Science, 2012.Google ScholarGoogle Scholar
  5. Wei P , Du X , Jiang C . Atmosphere Refractive Error Correction Method Based on Ray Tracing Differential Form[J]. Dianzi Yu Xinxi Xuebao/journal of Electronics & Information Technology, 2018, 40(8):1838-1846.Google ScholarGoogle Scholar
  6. Xihong C , Wenyi W U , Ningning T , Tropospheric Slant Delay Estimation Based on Improved Ray Tracing of Hopfield Model[J]. Journal of Detection & Control, 2017.Google ScholarGoogle Scholar
  7. Jian-Quan C , Yu-Hong Y , Gang X , Simulation of shortwave 3D ray tracing with geomagnetic field[J]. Computer Engineering and Design, 2012.Google ScholarGoogle Scholar
  8. Boehm J ,Niell A , Tregoning P , Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data[J]. Geophysical Research Letters, 2006, 33(7):L07304.Google ScholarGoogle ScholarCross RefCross Ref
  9. Landskron D , B?Hm J . VMF3/GPT3: refined discrete and empirical troposphere mapping functions[J]. Journal of Geodesy, 2017.Google ScholarGoogle Scholar
  10. ZHOU Yong-shui,YUAN Ye,WAN Xue-li, " ANALYSIS OF EFFECTIVE DETECTION DISTANCE OF GROUND-BASED MICROWAVE RADIOMETER IN THUNDERSTORM WEATHER IN COMPLEX MOUNTAINOUS TERRAINS." Journal of Tropical Meteorology. no.2, pp.199-207,2020.Google ScholarGoogle Scholar
  11. Xie Yіхі, J. Lаvеrgnаt, J. Р. ѕ. Моn, M. Ѕуlvаіn аnd Jіn Нuіqun. “Місrоwаvе аnd іllіmеtеrwave propagation”. Chapter 3, Radiometeorology, International Academic Publishers, 1995Google ScholarGoogle Scholar
  12. RECOMMENDATION ITU-R P. 453-13. The radio refractive index: its formula and refractivity data [S], 2017.Google ScholarGoogle Scholar
  13. B. R. Bean, G D. Thayer and B. A. Cahoon. “The methods to predict aomspheria radio efactice bending of radio waves”[J]. Res. NBS, Vol.640, No.5, 1960Google ScholarGoogle Scholar
  14. QIANG JianKe; TANG JingTian;Numerical simulation and inversion of airborne transient electromagnetic Changsha : Central South University Press, 2017Google ScholarGoogle Scholar
  15. Geng, Duyan , "Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging." Technology and health care: official journal of the European Society for Engineering and Medicine. Vol.27, no.4, pp.1-9, 20Google ScholarGoogle Scholar
  16. Xia X , Tang Y , Wei B , Dynamic multi-swarm global particle swarm optimization[J]. Computing, Vol 102,no.4, 2020Google ScholarGoogle Scholar
  17. Lin H , Xiong Y , Wang X , “Isogeometric Least-squares Collocation Method with Consistency and Convergence Analysis”[J]. arXiv, 2016.Google ScholarGoogle Scholar
  18. Johnson, Michael L. , and L. M. Faunt . "Parameter estimation by least-squares methods." Methods in Enzymology 210(1992):1-37.Google ScholarGoogle ScholarCross RefCross Ref

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            cover image ACM Other conferences
            APIT '21: Proceedings of the 2021 3rd Asia Pacific Information Technology Conference
            January 2021
            140 pages
            ISBN:9781450388108
            DOI:10.1145/3449365

            Copyright © 2021 ACM

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            Publication History

            • Published: 17 May 2021

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