Ray tracing/correlation approach to estimation of surface-based duct parameters from radar clutter

doi:10.1088/1674-1056/19/4/049201

Abstract This paper describes a technique to estimate surface-based duct parameters by using a simple ray tracing/correlation method. The approach is novel in that it incorporates the Spearman rank-order correlation scheme between the observed surface clutter and the surface ray density for a given propagation path. The simulation results and the real data results both demonstrate the ability of this method to estimate surface-based duct parameters. Compared with the results obtained by a modified genetic algorithm combined with the parabolic wave equation, the results retrieved from the ray tracing/correlation scheme show a minor reduction in accuracy but a great improvement on computation time. Therefore the ray tracing/correlation method might be used as a precursor to more sophisticated and slower techniques, such as genetic algorithm and particle filters, by narrowing the parameter search space and providing a comprehensive and more efficient estimation algorithm.

Keywords: ray tracing Spearman rank correlation surface-based duct radar clutter

Received: 01 June 2009
Revised: 03 September 2009
Accepted manuscript online:

PACS:	93.85.-q	(Instruments and techniques for geophysical research: Exploration geophysics)
	92.60.Ta	(Electromagnetic wave propagation)
	42.68.Ay	(Propagation, transmission, attenuation, and radiative transfer)
	42.15.Dp	(Wave fronts and ray tracing)

Fund: Project supported by the National Natural Science Foundation of China (Grant No.~40775025).

Cite this article:

Zhao Xiao-Feng(赵小峰), Huang Si-Xun(黄思训), and Sheng Zheng(盛峥) Ray tracing/correlation approach to estimation of surface-based duct parameters from radar clutter 2010 Chin. Phys. B 19 049201

[1]	Yan H J, Fu Y and Hong Z J 2006 Introduction to Modern Atmospheric Refraction (Shanghai: Science and Educational Press) (in Chinese)
[2]	Rowland J R and Babin S M 1987 Johns Hopkins APL Tech. Dig. 8 413
[3]	Gersoft P, Rogers L T, Krolik J K and Hodgkiss W S 2003 Radio Sci. 38 8053
[4]	Vasudevan S, Anderson R H, Kraut S, Gerstoft P, Rogers L T and Krolik J L 2007 Radio Sci. 42 3423
[5]	Yardim C, Gerstoft P and Hodgkiss W S 2008 IEEE Antennas Propag. 56 1058
[6]	Douvenot R, Fabbro V, Gerstoft P, Bourlier C and Saillard J 2008 Radio Sci. 43 3842
[7]	Sheng Z, Huang S X and Zheng G D 2009 Acta Phys. Sin. 58 4335 (in Chinese)
[8]	Liang G and Bertoni H L 1998 IEEE Antennas Propag. 46 853
[9]	Erricolo D, Crovella U G and Uslenghi P 2002 IEEE Antennas Propag. 50 736
[10]	Sevgi L 2004 IEEE Antennas and Propaga. Mag. 46 140
[11]	Rogers L T 1996 IEEE Antennas Propag. 44 460
[12]	Barrios A E 2004 Radio Sci. 39 6013
[13]	Barrios A E 2003 Considerations in the Development of the Advanced Propagation Model (APM) For U.S. Navy Applications AD-A 445 237
[14]	Kuttler J R and Dockery G D 1991 Radio Sci. 26 381
[15]	Xu W C, Chang C Q, Hung Y S and Fung C W 2008 IEEE Transactions on Signal Processing 56 2239
[16]	Huang S X, Zhao X F and Sheng Z 2009 Chin. Phys. B 18 5084
[17]	Choi J 1996 Parametric Error Analysis of Tropospheric Propagation Effects AD-A 310 468

[1]	Measurement and verification of concentration-dependent diffusion coefficient: Ray tracing imagery of diffusion process Li Wei(魏利), Wei-Dong Meng(孟伟东), Li-Cun Sun(孙丽存), Xin-Fei Cao(曹新飞), Xiao-Yun Pu(普小云). Chin. Phys. B, 2020, 29(8): 084206.
[2]	Asymmetrical mirror optimization for a 140 GHz TE_{22, 6} quasi-optical mode converter system Dong Xia(夏冬), Ming Jin(金铭), Ming Bai(白明). Chin. Phys. B, 2017, 26(7): 074101.
[3]	Theoretical simulation and analysis of large size BMP-LSC by 3D Monte Carlo ray tracing model Feng Zhang(张峰), Ning-Ning Zhang(张宁宁), Yi Zhang(张义), Sen Yan(闫森), Song Sun(孙松), Jun Bao(鲍骏), Chen Gao(高琛). Chin. Phys. B, 2017, 26(5): 054201.
[4]	North west cape-induced electron precipitation and theoretical simulation Zhen-xia Zhang(张振霞), Xin-qiao Li(李新乔), Chen-Yu Wang(王辰宇), Lun-Jin Chen. Chin. Phys. B, 2016, 25(11): 119401.
[5]	Channel characterization at 120 GHz for future indoor communication systems Chen Zhen (陈镇), Cao Jun-Cheng (曹俊诚). Chin. Phys. B, 2013, 22(5): 059201.
[6]	Inversion for atmosphere duct parameters using real radar sea clutter Sheng Zheng(盛峥) and Fang Han-Xian(方涵先) . Chin. Phys. B, 2012, 21(2): 029301.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Metrics
Related Articles

Ray tracing/correlation approach to estimation of surface-based duct parameters from radar clutter

Cite this article:

Online attention