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)

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