基于L波段Stokes参数遥感数据射频干扰检测及特性分析

王新新; 王祥; 韩震; 杨建洪

doi:10.11999/JEIT141577

基于L波段Stokes参数遥感数据射频干扰检测及特性分析

doi: 10.11999/JEIT141577

1.
(国家海洋环境监测中心大连 124000) ②(上海海洋大学上海 201306) ③(深圳市朗诚科技股份有限公司深圳 518029)

基金项目:

国家863计划项目(2007AA092003)和上海市科学技术委员会科研计划项目(08DZ1206304)

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出版历程
- 收稿日期: 2014-12-10
- 修回日期: 2015-06-15
- 刊出日期: 2015-10-19

Radio Frequency Interference Detection and Characteristic Analysis Based on the L Band Stokes Parameters Remote Sensing Data

1.
(National Marine Environmental Monitoring Center, Dalian 124000, China)
2.
(Shanghai Ocean University, Shanghai 201306, China)

Funds:

The National 863 Program of China (2007AA092003)

摘要

摘要: 近岸海域盐度卫星微波遥感精度受射频干扰(RFI)严重影响，针对近岸海域检测RFI源并分析其影响特性对后续开展射频干扰抑制研究具有重要意义。该文基于SMOS卫星传感器MIRAS独特的全极化特性，以中国海域沿岸陆地为研究区域，通过合成第3、第4 Stokes参数来表征RFI源的辐射强度，生成了RFI源分布图并分析了其影响范围。研究结果表明，影响中国海域的RFI源主要分布于中国沿海陆地区域，渤、黄海全部、东海的西部及南海的北部受RFI污染严重，卫星降轨数据和升轨数据受RFI影响具有很大的差异性。RFI源主要可能是微波发射站，表现为点状射线源，受天线辐射旁瓣的影响，会导致其周围数百公里区域卫星数据污染，并且由于受RFI源辐射衰减和天线辐射方向图各异等因素的影响，导致其对卫星的影响极其复杂，抑制其影响也具有一定的挑战性。
- 射频干扰 /
- 盐度遥感 /
- Stokes参数 /
- 源检测 /
- L波段微波辐射
Abstract: Sea surface salinity remote sensing is seriously impacted by Radio Frequency Interference (RFI) over coastal areas, detecting RFI sources and analyzing its influence characteristic for developing RFI suppression research in the nearshore areas is of great significance. Based on the unique multi-angle observation imaging and polarization characteristics of the SMOS satellite sensor MIRAS, this paper generates the RFI sources distribution diagram and analyzes its distribution characteristics and influence scope through synthesis third and fouth Stokes parameters in the China sea. The results indicate that the RFI sources are concentrated distributed throughout coastal land areas of the Bohai sea, the Yellow sea, the west of the East China Sea and the north of the south China sea are strong impacted by RFI sources, and the sources have big different effects on ascending pass and descending pass data. The RFI sources may be microwave emission station, displaying as pointlike radio source, and the strong sources can pollute satellite data within a few hundred kilometers through antenna sidelobes, and RFI suppression is a scientific problem right now for the reason that RFI has complex effects on satellite depending on different attenuation and antenna radiation patterns.
- Radio Frequency Interference (RFI) /
- Salinity remote sensing /
- Stokes parameters /
- Sources detection /
- L band microwave radiation

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参考文献(25)

殷晓斌, 刘玉光, 张汉德, 等. 海表面盐度的微波遥感平静海面的微波辐射机理研究[J]. 高技术通讯, 2005, 15(8): 86-90.

Yin Xiao-bin, Liu Yu-guang, Zhang Han-de, et al.. Microwave remote sensing of sea surface salinitya study on microwave radiation theory of calm sea surface[J]. Chinese High Technology Letters, 2005, 15(8): 86-90.

王新新, 赵冬至, 杨建洪, 等. 海表面盐度卫星微波遥感研究进展[J]. 遥感技术与应用, 2012, 27(5): 671-679.

Wang Xin-xin, Zhao Dong-zhi, Yang Jian-hong, et al.. Progress in SSS (Sea Surface Salinity) microwave remote sensing by satellite[J]. Remote Sensing Technology and Application, 2012, 27(5): 671-679.

Yueh S, West R, William W, et al.. Error sources and feasibility for microwave remote sensing of ocean surface salinity[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(5): 1049-1060.

Oliva R, Daganzo E, Kerr Y H, et al.. SMOS radio frequency interference scenario: status and actions taken to improve the RFI environment in the 14001427-MHz passive band [J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(5): 1427-1439.

Castro R, Gutierrez A, and Barbosa J. A first set of techniques to detect radio frequency interferences and mitigate their impact on SMOS data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(5): 1440-1447.

Johnson J T and Aksoy M. Studies of radio frequency interference in SMOS observations[C]. IEEE International Geoscience and Remote Sensing Symposium(IGARSS), Vancouver, Italy, 2011: 4210-4212.

Aksoy M and Johnson J T. A study of SMOS RFI over North America[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 10(3): 515-519.

Aksoy M, Park J, and Johnson J T. Joint analysis of radio frequency interference from SMOS measurements and from airborne observations[C]. General Assembly and Scientific Symposium-URSI, Istanbul, Turkey, 2011: 1-4.

Chen D D and Ruf C. A novel method to estimate the RFI environment[C]. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, 2014: 215-218.

Soldo Y, Cabot F, and Khazaal A. Localization of RFI sources for the SMOS mission: a means for assessing SMOS pointing performances[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 8(2): 617-627.

Misra S. Development of radio frequency interference detection algorithms for passive missive microwave remote sensing[D]. [Ph.D. dissertation], University of Michigan, 2011.

Misra S and Ruf C S. Analysis of radio frequency interference detection algorithms in the angular domain for SMOS[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(5): 1448-1457.

Khazaal A, Cabot F, and Anterrieu E. A Kurtosis-based approach to detect RFI in SMOS image reconstruction data processor[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7038-7047.

Bradley D, Morris J M, Adali T, et al.. On the detection of RFI using the complex signal kurtosis in microwave radiometry[C]. Proceedings of 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Pasadena, 2014: 33-38.

Kristensen S S, Balling J E, Skou N, et al.. RFI detection in SMOS data using 3rd and 4th Stokes parameters[C]. 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Roman, Italy, 2012: 1-4.

王新彪, 李靖, 姜景山. 相关型全极化辐射计研究[J]. 遥感技术与应用, 2008, 23(5): 582-586.

Wang Xin-biao, Li Jing, and Jiang Jing-shan. Study of fully polarimetric radiometer[J]. Remote Sensing Technology and Application, 2008, 23(5): 582-586.

Gabarr P C. Study of salinity retrieval errors for the SMOS mission[D]. [Ph.D. dissertation], University Politcnica de Catalunya, 2004.

王小强, 秦顺友, 王俊义. 地球站最大EIRP的测量及误差分析[J]. 无线电工程, 2008, 38(9): 47-54.

Wang Xiao-qiang, Qin Shun-you, and Wang Jun-yi. Measurement and error analysis for earth station maximum EIRP[J]. Radio Engineering of China, 2008, 38(9): 47-54.

陈建, 张韧, 安玉柱, 等. SMOS卫星遥感海表盐度资料处理应用研究进展[J]. 海洋科学进展, 2013, 31(2): 295-304.

Chen Jian, Zhang Ren, An Yu-zhu, et al.. Overview on processing and applying on the SMOS satellite remotely sensed sea surface salinity product[J]. Advances in Marine Science, 2013, 31(2): 295-304.

Balling J E, Sbjoerg S S, Kristensen S S, et al.. RFI and SMOS: preparatory campaigns and first observations from space[C]. 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Washington, DC, USA, 2010: 282-287.

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