实测海尖峰特性分析及抑制方法

黄勇; 陈小龙; 关键

doi:10.12000/JR14108

实测海尖峰特性分析及抑制方法

DOI: 10.12000/JR14108

(海军航空工程学院电子信息工程系烟台 264001)

基金项目:

国家自然科学基金(61471382, 61401495, 61201445, 61179017)和飞行器海上测量与控制实验室开放基金资助课题

详细信息

作者简介:
黄勇(1978-),男,湖南汨罗人,讲师,博士,海军航空工程学院电子信息工程系,研究方向为雷达信号处理、杂波特性分析与抑制.陈小龙(1985-),男,山东烟台人,讲师,博士,海军航空工程学院电子信息工程系,研究方向为时频信号分析、微多普勒分析、海杂波中微弱目标检测.获全军优秀硕士学位论文奖.关键(1968-),男,辽宁锦州人,教授,博士生导师,海军航空工程学院电子信息工程系主任,主要研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合.获全国优秀博士学位论文奖,新世纪百千万人才工程国家级人选.E-mail:guanjian96@tsinghua.org.cnE-mail:cxlcxl1209@163.com

通讯作者:
陈小龙cxlcxl1209@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2014-09-03
- 修回日期: 2014-11-17
- 网络出版日期: 2015-06-28

Property Analysis and Suppression Method of Real Measured Sea Spikes

(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)

摘要

摘要: 在高分辨率、低擦地角、高海况以及HH极化工作方式下,雷达回波强度会明显增强,容易产生海尖峰,使得海杂波具有高幅值、非平稳和非高斯等特点,严重影响雷达对海面微弱动目标的检测.为此,该文提出一种海尖峰抑制方法,首先,给出了海尖峰判别和筛选方法,在此基础上,分析了海尖峰的幅值特性、时间相关性、多普勒谱和分数阶功率谱特性;其次,通过剔除背景中的海尖峰并选取最小平均功率水平的背景杂波作为待检测数据,能够抑制海杂波,改善SCR;最后,实测数据的实验结果验证了该方法的有效性.
- 海杂波抑制 /
- 海尖峰 /
- 特性分析 /
- 分数阶功率谱 /
- 动目标检测(MTD)
Abstract: In case of high-resolution, low grazing angle, high sea state, and horizontal transmitting, horizontal receiving polarization, the radar returns are strengthened, resulting in sea spikes. The sea spikes have the characteristics of high amplitudes, nonstationary, and non-Gaussian, which have a strong impact on the radar detection of weak marine moving targets. This study proposes a method for sea clutter suppression. Firstly, based on the sea spikes identification and selection method, the amplitude, temporal correlation, Doppler spectrum, and fractional power spectrum properties of sea spikes are analyzed. Secondly, the data to be detected are chosen by selecting the background clutter with minimum mean power, which can also eliminate the sea spikes. Correspondingly, sea clutter is suppressed with improved Signal-to-Clutter Ratio (SCR). Finally, the results of experiment with real radar data verify the effectiveness of the proposed method.
- Sea clutter suppression /
- Sea spikes /
- Property analysis /
- Fractional power spectrum /
- Moving Target Detection (MTD)

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参考文献(19)

[1]	Zuo L, Li M, Zhang X W, et al.. An efficient method for detecting slow-moving weak targets in sea clutter based on time-frequency iteration decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3659-3672.
[2]	Chen X L, Guan J, Liu N B, et al.. Detection of a low observable sea-surface target with micromotion via the Radon-linear canonical transform[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(7): 1225-1229.
[3]	Ward K D and Watts S. Use of sea clutter models in radar design and development[J]. IET Radar, Sonar Navigation, 2010, 4(2): 146-157.
[4]	闫亮, 孙培林, 易磊, 等. 基于逆高斯分布的复合高斯海杂波建模研究[J]. 雷达学报, 2013, 2(4): 461-465. Yan L, Sun P L, Yi L, et al.. Modeling of compound-Gaussian sea clutter based on an inverse Gaussian distribution[J]. Journal of Radars, 2013, 2(4): 461-465.
[5]	Zhang M, Chen H, and Yin H C. Facet-based investigation on EM scattering from electrically large sea surface with two-scale profiles: theoretical model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(6): 1967-1975.
[6]	Greco M, Stinco P, and Gini F. Identification and analysis of sea radar clutter spikes[J]. IET Radar, Sonar Navigation, 2010, 4(2): 239-250.
[7]	陈小龙, 关键, 何友. 微多普勒理论在海面目标检测中的应用及展望[J]. 雷达学报, 2013, 2(1): 123-134. Chen X L, Guan J, and He Y. Applications and prospect of micro-motion theory in the detection of sea surface target[J]. Journal of Radars, 2013, 2(1): 123-134.
[8]	Gutnik V G, Kulemin G P, and Sharapov L I. Spike statistics features of the radar sea clutter in the millimeter wave band at extremely small grazing angles[C]. The Fourth International Kharkov Symposium on Physics and Engineering of Millimeter and Sub-Millimeter Waves, Kharkov, Ukraine, 2001: 426-428.
[9]	Posner F L. Spiky sea clutter at high range resolutions and very low grazing angles[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 58-73.
[10]	梅孝安. IPIX雷达海尖峰统计特性研究[J]. 飞行器测控学报, 2007, 26(2): 19-23. Mei X A. A study on the statistical characteristics of IPIX radar sea spikes[J]. Journal of Spacecraft TT C Technology, 2007, 26(2): 19-23.
[11]	谢常清, 杨俊岭. 雷达海杂波尖峰时频分布特性研究[J]. 现代雷达, 2008, 30(5): 10-13. Xie C Q and Yang J L. A study on the time-frequency distribution of radar sea clutter spike[J]. Modern Radar, 2008, 30(5): 10-13.
[12]	Rosenberg L. Sea-spike detection in high grazing angle X-band sea-clutter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(8): 4556-4562.
[13]	Tao R, Zhang F, and Wang Y. Fractional power spectrum[J]. IEEE Transactions on Signal Processing, 2008, 56(9): 4199-4206.
[14]	Drosopoulos A. Description of the OHGR database[R]. Ottawa: DREO Technical Note, 1994.
[15]	Dong Y and Merrett D. Analysis of L-band multi-channel sea clutter[J]. IET Radar, Sonar Navigation, 2010, 4(2): 223-238.
[16]	Walker D. Doppler modelling of radar sea clutter[J]. IEE Proceedings-Radar, Sonar and Navigation, 2001, 148(2): 73-80.
[17]	Chen X L, Guan J, Huang Y, et al.. Maneuvering target detection via Radon-fractional Fourier transform-based long- time coherent integration[J]. IEEE Transactions on Signal Processing, 2014, 62(4): 939-953.
[18]	Chen X L, Guan J, Huang Y, et al.. Radon-linear canonical ambiguity function-based detection and estimation method for marine target with micromotion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2225-2240.
[19]	Guida M, Longo M, and Lops M. Biparametric CFAR procedures for lognormal clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(3): 798-809.