Electromagnetic propagation pattern analysis of OTH radar in low altitude environment
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摘要:
文中提出了一种电波传播模式分析方法. 通过对PJ (Paulus-Jeske)波导进行参数估计，实现蒸发波导的完备性建模；采用抛物方程法分析气象环境中的二维电波传播路径损耗分布，利用最大值池化降低数据量，并采用自适应聚类分析实现电波传播模式分析，进而建立海杂波衰减规律与电波传播模式之间的映射，统计条件概率. 结果表明，蒸发波导环境下海杂波衰减与电波传播模式之间具有相关性，分析结果能够展示蒸发波导中的电波传播模式，并且能够为海杂波反演大气波导提供先验条件概率分析.
Abstract:An analysis method of electromagnetic propagation mode is proposed in this paper. By estimating the parameters of Paulus-Jeske (PJ) model, a complete model of evaporation duct is realized. The parabolic equation model is used to analyze the two-dimensional electromagnetic path loss distribution in meteorological environment, the maximum pooling is applied to reduce the data, and the adaptive cluster analysis is used to analyze the electromagnetic propagation pattern. The mapping between the sea clutter attenuation and electromagnetic propagation pattern is established, and the conditional probability is calculated. The results show that there is a correlation between the sea clutter attenuation and electromagnetic propagation pattern in evaporation duct environment. The analysis results show the electromagnetic propagation pattern in evaporation duct and provide a priori conditional probability analysis for refractivity from clutter method.
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图 1 低空电波传播模式分析原理框图
Fig. 1 Block diagram of low altitude electromagnetic propagation pattern analysis
图 2 聚类后形成的12种电磁波传播模式
Fig. 2 Twelve electromagnetic propagation modes generated from adaptive cluster analysis
图 3 不同强度/厚度蒸发波导环境中的电磁波传播模式
Fig. 3 Electromagnetic propagation pattern for different evaporation duct environment
表 1 回波衰减模式对应电波传播模式及先验概率
Tab. 1 Electromagnetic propagation pattern and its priori conditional probability for attenuation model
衰减模式 传播模式及概率1 传播模式及概率2 1 2（59%） 1（41%） 2 3（95%） 2（5%） 3 4（57%） 3（43%） 4 5（59%） 4（41%） 5 5（67%） 7（20%） 6 6（69%） 7（31%） 7 7（30%） 6（27%） 8 7（100%） - 9 9（36%） 8（20%） 10 7（89%） 11（11%） 11 7（75%） 11（25%） 12 12（52%） 11（42%） 
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[1] 胡绘斌. 预测复杂环境下电波传播特性的算法研究[D]. 长沙: 国防科学技术大学, 2006.HU H B. Research on radio wave propagation above irregular terrain profile[D]. Changsha: National University of Defense Science and technology, 2006. (in Chinese) [2] 袁晓君, 林为干. 电波传播的抛物方程近似分析法[J]. 电子科技大学学报,1993,22(1):43-48.YUAN X J, LIN W G. A parabolic equation approximation method in analysis of wave propagation in inhomogeneous medium[J]. Journal of University of Electronic Science and Technology of China,1993,22(1):43-48. (in Chinese) [3] BARRIOS A E. Parabolic equation modeling in horizontally inhomogeneous environments[J]. IEEE transactions on antennas and propagation,1992,40(7):791-797. DOI: 10.1109/8.155744 [4] BARRIOS A E. A terrain parabolic equation model for propagation in the troposphere[J]. IEEE transactions on antennas and propagation,1994,42(1):90-99. DOI: 10.1109/8.272306 [5] APAYDIN G, SEVGI L. Calibration of three-dimensional parabolic equation propagation models with the rectangular waveguide problem[J]. IEEE antennas and propagation magazine,2012,54(6):102-117. DOI: 10.1109/MAP.2012.6387786 [6] LEVY M F. Parabolic equation methods for electromagnetic wave propagation[J]. London: IEE Press, 2000. [7] KROLIK J L, TABRIKAIN J. Tropospheric refractivity estimation using radar clutter from the sea surface[C]// Proceedings of the 1997 Battlespace Atmospherics Conference. San Diego, December 2-4, 1997: 635-642. [8] KROLIK J L, TABRIKAIN J, VASUDEVAN S, et al. Using radar sea clutter to estimate refractivity profiles associated with the capping inversion of the marine atmospheric boundary layer[C]// IEEE International Geoscience and Remote Sensing Symposium. Hamburg, 28 June-2 July, 1999. [9] ROGERS L T, HATTAN C P, STAPLETON J K. Estimating evaporation duct heights from radar sea clutter[J]. Radio science,2000,35(4):955-966. DOI: 10.1029/1999RS002275 [10] YARDIM C, GERSTOFT P, HODGKISS W S. Estimation of radio refractivity from radar clutter using Bayesian Monte Carlo analysis[J]. IEEE transactions on antennas and propagation,2006,54(4):1318-1327. DOI: 10.1109/TAP.2006.872673 -
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