含卷浪Pierson-Moscowitz谱海面电磁散射研究

李文龙; 郭立新; 孟肖; 刘伟

doi:10.7498/aps.63.164102

摘要

海尖峰的存在会导致雷达虚警概率的上升和多目标环境中检测性能下降，因此研究海尖峰现象意义重大. 海尖峰现象的一个重要特点是海面的水平极化散射强度接近甚至大于垂直极化散射强度，卷浪被认为是产生海尖峰的一个原因. 首先建立了卷浪和Pierson-Moscowitz谱海面的共同模型，利用矩量法研究了卷浪模型的水平和垂直后向电磁散射特征，包括入射频率、入射角、风速和风向对电磁散射特征的影响. 发现在小擦地角情况和较大风速下超级现象（水平散射强度大于垂直极化散射强度）比较明显，从而推论出在小擦地角入射下产生海尖峰现象的概率较大. 同时对时变卷浪在小擦地角入射时的海杂波幅值分布特性和多普勒谱进行了分析.

关键词:

海尖峰 /
卷浪 /
电磁散射 /
小擦地角

Abstract

The presence of sea spikes can cause the radar false alarm probability rise and performance degradation of multi-target environment detection. Therefore, study of the phenomenon of sea spikes is of great significance. HH polarization scattering intensity close to or even greater than the VV polarization scattering intensity is an important feature of sea spike phenomenon. Overturning wave crest is considered to be one of the reasons of generating sea spike. In this paper, overturning wave crest model is introduced with the consideration of the wind speed, and the method of moment is used for studying HH and VV backward scattering coefficient for different incident frequencies, incident angles, wind speeds, and wind directions. It is found that super phenomenon (HH scattering intensity is greater than VV polarization scattering intensity) is more obvious in the cases of low grazing and large wind speed, thus it is deduced that the sea spike phenomenon occurs with a high probability in the case of low grazing angle. Moreover, the distributions of sea clutter amplitude and Doppler spectra are also examined for the overturning wave crest model with low grazing incidence.

Keywords:

作者及机构信息

1.
西安电子科技大学物理与光电工程学院, 西安 710071

基金项目: 国家杰出青年科学基金（批准号：61225002）和航空科学基金与航空电子系统射频综合仿真航空科技重点实验室联合项目（批准号：20132081015）资助的课题.

Authors and contacts

1.
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China

Funds: Project supported by the National Science Fund for Distinguished Young Scholars of China (Grant No. 61225002) and the Aeronautical Science Fund and Aviation Key Laboratory of Science and Technology on Avionics Integrated Sensor System Simulation (Grant No. 20132081015).

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施引文献

[1]	Jessup A T, Melville W K, Keller W C 1990 IEEE Proceedings Geoscience and Remote Sensing Symposium College Park, USA, May 20-24, 1990 p765
[2]	Xie T, Shen T, Perrie W, Chen W, Kuang H L 2010 Chin. Phys. B 19 054102
[3]
[4]
[5]	Walker D 2001 IEE Proc. Radar Sonar Navig. 148 73
[6]	Lamont-Smith T 2008 IET. Radar Sonar Navig. 2 97
[7]
[8]	Sobieski P, Guissard A, Baufays C 1991 IEEE Trans. Geosci. Remote Sens. 29 391
[9]
[10]	Dano E B, Lyzenga D R 1996 Remote Sensing for a Sustainable Future Lincoln, USA, May 27-31, 1996 p2198
[11]
[12]	Holliday D, Deraad Jr L L, St-Cyr G J 1998 IEEE Trans. Antenn. Propag. 46 108
[13]
[14]
[15]	West J C 2000 IEEE Proceedings Geoscience and Remote Sensing Symposium Honolulu, USA, July 2428, 2000 p3120
[16]
[17]	West J C 2002 IEEE Trans. Geosci. Remote Sens. 40 523
[18]
[19]	Trizna D B 1997 IEEE Trans. Geosci. Remote Sens. 35 1232
[20]	Li Z K 2006 M. S. Thesis (Tsingtao: Ocean University of China) (in Chinese) [李宗宽 2006 硕士学位论文 (青岛: 中国海洋大学)]
[21]
[22]
[23]	Lindsay R W, Percival D B 1996 IEEE Trans. Geosci. Remote Sens. 34 771
[24]
[25]	Tian Y Y, Tan Q C 2011 J. Wuhan Univ. Technol. (Nat. Sci.) 11 153 (in Chinese) [田原嫄, 谭庆昌 2011 武汉理工大学学报 (自然科学版) 11 153]
[26]	Luo W, Zhang M, Zhou P, Yin H C 2010 Chin. Phys. B 19 084102
[27]
[28]	Du Z J, Lin W T, Mo J Q 2012 Chin. Phys. B 21 090201
[29]
[30]
[31]	Guo L X, Wang R, Wu Z S 2010 Chin. Phys. B 19 044102
[32]
[33]	Guo L X, Wang R, Wu Z S 2010 Basic Theory and Method of Electromagnetic Scattering from Random Rough Surface (Beijing: Science Press) p63 (in Chinese) [郭立新, 王蕊, 吴振森 2010 随机粗糙面散射的基本理论和方法 (北京: 科学出版社) 第63页]
[34]
[35]	Lai H J, Hao Z F 2008 Probability and Statistics (Beijing: Higher Education Press)
[36]	Zhang Y M, Wang Y H, Zhao C F 2010 Chin. Phys. B 19 084103
[37]
[38]	Guo L X, Wang Y, Wang Y H, Wu Z S 2008 Acta Phys. Sin. 57 3464 (in Chinese) [郭立新, 王蕊, 王运华, 吴振森 2008 57 3464]
[39]
[40]
[41]	Toporkov J V, Brown G S 2000 IEEE Trans. Geosci. Remote Sens. 38 1616

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