基于不同散射机制特征的海杂波时变多普勒谱模型

张金鹏; 张玉石; 李清亮; 吴家骥

doi:10.7498/aps.67.20171612

摘要

海杂波的多普勒谱建模对采用多普勒处理技术的雷达进行有效的海杂波抑制和目标检测具有重要的意义.本文分别考虑Bragg，白冠和破碎波三种散射机制对应的多普勒谱分量的特征，对三种谱分量的频移和展宽进行分离，并引入附加速度频移量，提出了基于不同散射机制特征的雷达海杂波时变多普勒谱模型.该模型假设谱强度为受观测时间区间影响的随机变量，能够同时适用于平均多普勒谱与短时多普勒谱建模.通过分别对黄海海域实测的岸基P，S波段海杂波平均多普勒谱与短时多普勒谱建模测试，结果表明该模型相对传统模型的建模精度更高，尤其体现在短时谱的观测时间较长和平均谱形式较为复杂的情况下，建模误差显著减小.

关键词:

Abstract

The Doppler spectrum modeling of the sea clutter is of great significance for using the Doppler radar to suppress the sea clutter and detect the target on sea surface. Taking into account the characteristics of the Doppler spectrum components corresponding to three scattering mechanisms, the Bragg, whitecap, and breaking-wave, we propose a time-varying Doppler spectrum model of radar sea clutter in this paper. The Doppler spectrum shifts and bandwidths of the three scattering mechanisms are considered respectively, and a Doppler shift of an added wave speed is introduced into this model. Because the spectrum intensity is defined as a random variable being a function of the measuring time of the sea clutter series, the model has the ability to model both the long-time averaged Doppler spectra and the short-time Doppler spectra. By modeling the short-time Doppler spectra and the long-time averaged Doppler spectra of the shore-based radar sea clutter measured in the China Yellow Sea at P and S bands, it is indicated that the proposed model has a higher precision than the conventional model, and especially, the modeling errors decrease significantly in the cases of the short-time Doppler spectra with long measuring time and the long-time averaged Doppler spectra with complex shapes.

Keywords:

作者及机构信息

1.
中国电波传播研究所, 电波环境特性及模化技术重点实验室, 青岛 266107;

2.
西安电子科技大学电子工程学院, 西安 710071

通信作者: 张金鹏, zhjinpeng@hotmail.com

基金项目: 国家自然科学基金（批准号：61401342）资助的课题.

Authors and contacts

1.
National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation, Qingdao 266107, China;

2.
School of Electronic Engineering, Xidian University, Xi'an 710071, China

Corresponding author: Zhang Jin-Peng, zhjinpeng@hotmail.com

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 61401342).

参考文献

[1]	Ward K D, Watts S 2010 IET Radar, Sonar Navig. 4 146
[2]	Li D C, Shui P L 2016 IET Radar, Sonar Navig. 10 699
[3]	Rosenberg L, Watts S 2017 IET Radar, Sonar Navig. 11 1340
[4]	Pidgeon V W 1968 J. Geophys. Res. 73 1333
[5]	Lee P H Y, Barter J D, Beach K L 1995 IEE Proc. Radar, Sonar Navig. 142 252
[6]	Walker D 2000 IEE Proc. Radar, Sonar Navig. 147 114
[7]	Rosenberg L 2014 IEEE T. Aero. Elec. Sys. 50 406
[8]	Watts S, Rosenberg L, Bocquet S 2016 IET Radar, Sonar Navig. 10 24
[9]	Watts S, Rosenberg L, Bocquet S 2016 IET Radar, Sonar Navig. 10 32
[10]	Corretja V, Meslot V, Kemkemian S, Montigny R 2017 Proceedings of the IEEE Radar Conference Seattle, WA, USA, May 8-12, 2017 p1046
[11]	Watts S, McDonald M, Rosenberg L 2015 Proceedings of the IEEE Radar Conference Johannesburg, South Africa, October 2730, 2015 p91
[12]	Jiang W Z, Yuan Y L, Wang Y H, Zhang Y M 2012 Acta Phys. Sin. 61 124213 (in Chinese) [姜文正, 袁业立, 王运华, 张彦敏 2012 61 124213]
[13]	Walker D 2001 IEE Proc. Radar, Sonar Navig. 148 73
[14]	Watts S 2012 IEEE T. Aero. Elec. Sys. 48 3303
[15]	Miller R J, Dawber W N 2002 Proceedings of the International Radar Conference Edinburgh, UK, October 15-17, 2002 p444
[16]	Ward K D, Tough R J A, Watts S 2013 Sea Clutter: Scattering, the K Distribution and Radar Performance (2nd Ed.) (London: The Institution of Engineering and Technology)
[17]	Raynal A M, Doerry A W 2010 Doppler Characteristics of Sea Clutter (New Mexico: Sandia National Laboratories)
[18]	Duncan J R, Keller W C, Wright J W 1974 Radio Sci. 9 809
[19]	Plant W J, Keller W C 1990 J. Geophys. Res. 95 16299
[20]	Zhang Y M, Wang Y H, Zhao C F 2010 Chin. Phys. B 19 084103
[21]	Zhang Y S, Zhang J P, Li X, Wu Z S 2014 Chin. Phys. B 23 108402

施引文献

[1]	Ward K D, Watts S 2010 IET Radar, Sonar Navig. 4 146
[2]	Li D C, Shui P L 2016 IET Radar, Sonar Navig. 10 699
[3]	Rosenberg L, Watts S 2017 IET Radar, Sonar Navig. 11 1340
[4]	Pidgeon V W 1968 J. Geophys. Res. 73 1333
[5]	Lee P H Y, Barter J D, Beach K L 1995 IEE Proc. Radar, Sonar Navig. 142 252
[6]	Walker D 2000 IEE Proc. Radar, Sonar Navig. 147 114
[7]	Rosenberg L 2014 IEEE T. Aero. Elec. Sys. 50 406
[8]	Watts S, Rosenberg L, Bocquet S 2016 IET Radar, Sonar Navig. 10 24
[9]	Watts S, Rosenberg L, Bocquet S 2016 IET Radar, Sonar Navig. 10 32
[10]	Corretja V, Meslot V, Kemkemian S, Montigny R 2017 Proceedings of the IEEE Radar Conference Seattle, WA, USA, May 8-12, 2017 p1046
[11]	Watts S, McDonald M, Rosenberg L 2015 Proceedings of the IEEE Radar Conference Johannesburg, South Africa, October 2730, 2015 p91
[12]	Jiang W Z, Yuan Y L, Wang Y H, Zhang Y M 2012 Acta Phys. Sin. 61 124213 (in Chinese) [姜文正, 袁业立, 王运华, 张彦敏 2012 61 124213]
[13]	Walker D 2001 IEE Proc. Radar, Sonar Navig. 148 73
[14]	Watts S 2012 IEEE T. Aero. Elec. Sys. 48 3303
[15]	Miller R J, Dawber W N 2002 Proceedings of the International Radar Conference Edinburgh, UK, October 15-17, 2002 p444
[16]	Ward K D, Tough R J A, Watts S 2013 Sea Clutter: Scattering, the K Distribution and Radar Performance (2nd Ed.) (London: The Institution of Engineering and Technology)
[17]	Raynal A M, Doerry A W 2010 Doppler Characteristics of Sea Clutter (New Mexico: Sandia National Laboratories)
[18]	Duncan J R, Keller W C, Wright J W 1974 Radio Sci. 9 809
[19]	Plant W J, Keller W C 1990 J. Geophys. Res. 95 16299
[20]	Zhang Y M, Wang Y H, Zhao C F 2010 Chin. Phys. B 19 084103
[21]	Zhang Y S, Zhang J P, Li X, Wu Z S 2014 Chin. Phys. B 23 108402

[1]	印必还, 何姿, 丁大志. 基于旋转多普勒效应的自旋目标转速估计方法. , 2023, 72(17): 174203. doi: 10.7498/aps.72.20230807
[2]	王蕊, 郭立新, 张策. 油膜覆盖的非线性海面电磁散射多普勒谱特性研究. , 2018, 67(22): 224102. doi: 10.7498/aps.67.20180184
[3]	赵虎, 华灯鑫, 毛建东, 周春艳. 基于粒子谱的多波长激光雷达近场大气光学参数校正方法. , 2015, 64(12): 124208. doi: 10.7498/aps.64.124208
[4]	行鸿彦, 张强, 徐伟. 海杂波FRFT域的分形特征分析及小目标检测方法. , 2015, 64(11): 110502. doi: 10.7498/aps.64.110502
[5]	张金鹏, 张玉石, 吴振森, 张玉生, 胡荣旭. 基于雷达海杂波的区域性非均匀蒸发波导反演方法. , 2015, 64(12): 124101. doi: 10.7498/aps.64.124101
[6]	行鸿彦, 朱清清, 徐伟. 一种混沌海杂波背景下的微弱信号检测方法. , 2014, 63(10): 100505. doi: 10.7498/aps.63.100505
[7]	熊刚, 张淑宁, 赵慧昌. 基于小波leaders的海杂波时变奇异谱分布分析. , 2014, 63(15): 150503. doi: 10.7498/aps.63.150503
[8]	赵小峰, 黄思训. 大气波导条件下雷达海杂波功率仿真. , 2013, 62(9): 099204. doi: 10.7498/aps.62.099204
[9]	刘宁波, 关键, 黄勇, 王国庆, 何友. 海杂波的分段分数布朗运动模型. , 2012, 61(19): 190503. doi: 10.7498/aps.61.190503
[10]	何文平, 王柳, 万仕全, 廖乐健, 何涛. 旱涝预测的演化建模方法. , 2012, 61(11): 119201. doi: 10.7498/aps.61.119201
[11]	行鸿彦, 龚平, 徐伟. 海杂波背景下小目标检测的分形方法. , 2012, 61(16): 160504. doi: 10.7498/aps.61.160504
[12]	毛媛, 郭立新, 丁慧芬, 刘伟. 基于高频雷达多普勒谱预测风向的一种新方法. , 2012, 61(4): 044201. doi: 10.7498/aps.61.044201
[13]	姜文正, 袁业立, 运华, 张彦敏. 海面微波散射场多普勒谱特性研究. , 2012, 61(12): 124213. doi: 10.7498/aps.61.124213
[14]	沈法华, 舒志峰, 孙东松, 王忠纯, 薛向辉, 陈廷娣, 窦贤康. 瑞利散射多普勒激光雷达风场反演方法. , 2011, 60(6): 060704. doi: 10.7498/aps.60.060704
[15]	赵延来, 黄思训, 杜华栋, 仲跻芹. 正则化方法同化多普勒天气雷达资料及对降雨预报的影响. , 2011, 60(7): 079202. doi: 10.7498/aps.60.079202
[16]	贺静波, 刘忠, 胡生亮. 基于海杂波散射特性的微弱信号检测方法. , 2011, 60(11): 110208. doi: 10.7498/aps.60.110208
[17]	杨殿阁, 罗禹贡, 李兵, 李克强, 连小珉. 基于时域多普勒修正的运动声全息识别方法. , 2010, 59(7): 4738-4747. doi: 10.7498/aps.59.4738
[18]	郭立新, 王蕊, 王运华, 吴振森. 二维粗糙海面散射回波多普勒谱频移及展宽特征. , 2008, 57(6): 3464-3472. doi: 10.7498/aps.57.3464
[19]	姜斌, 王宏强, 黎湘, 郭桂蓉. 海杂波背景下的目标检测新方法. , 2006, 55(8): 3985-3991. doi: 10.7498/aps.55.3985
[20]	郭立新, 王运华, 吴振森. 双尺度动态分形粗糙海面的电磁散射及多普勒谱研究. , 2005, 54(1): 96-101. doi: 10.7498/aps.54.96

计量

文章访问数: 8896
PDF下载量: 227
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板