Improved Retrieval of Reflectivity Factor for Airborne Weather Radar

Article Preview

Abstract:

For the airborne weather radar signal processing, the intensity of the meteorological targets is represented by the physical quantity called reflectivity factor. When observing the middle-or long-range meteorological targets at low altitude from a high-altitude radar platform, due to the incomplete beam filling, the retrieval result of the reflectivity factor is much less than the actual value. In this paper, we firstly introduce a beam filling coefficient into the weather radar equation and then present its estimation method based on the real-time radar operating parameters. The validity of the proposed method is then verified by processing the raw-data of the simulated meteorological targets.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1073-1076)

Pages:

611-614

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Mingbao Hu, The Weather Radar Detection and Application, Meteorological Press, Beijing, (2007).

Google Scholar

[2] Xinming Pan, Yi Xiong, Reflectivity factor and factor analysis of the error of the solution, 2nd conference of radar meteorology and the weather radar committee of China, Hefei, (2006).

Google Scholar

[3] VignaI B., G. Galli, J. Joss, et a1, Three methods to determine profiles of reflectivity from volumetric radar data to correct precipitation estimates, Appl. Meteor. 39 (2000) 1715-1726.

DOI: 10.1175/1520-0450-39.10.1715

Google Scholar

[4] Jingsi Wang, Radar range equation for meteorological targets, 1996 CIE International Conference, BeiJing, (1996).

DOI: 10.1109/icr.1996.574534

Google Scholar

[5] You He, Jianjuan Xiu, Jingwei Zhang, et al, Radar Data Processing and Application, Housing of Electronics Industry, Beijing, (2009).

Google Scholar

[6] Tim Stewart,James DeArmon,David Chaloux, Using flight information to improve weather avoidance predictions, 2013 Aviation Technology, Integration, and Operations Conference, Los Angeles, (2013).

DOI: 10.2514/6.2013-4377

Google Scholar

[7] Yi Fan, RenBiao Wu, ZhiChao Meng,et a1, Wind shear signal simulation of the airborne weather radar , 201l IEEE Radar Conference, Kansas City, (2011).

DOI: 10.1109/radar.2011.5960630

Google Scholar

[8] Renbiao Wu, Pengju Hu, Xiaoguang Lu, Simulation of airborne weather radar signals, Journal of Civil Aviation University of China. 30 (2011) 351-355.

Google Scholar

[9] Huajun Duan, Study on signal simulation of airborne weather radar and the methods for ground clutter suppression, Nanjing University of Aeronautics & Astronautics, Nanjing, China (2011).

Google Scholar