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

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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.

Key words： Radio Frequency Interference (RFI) Salinity remote sensing Stokes parameters Sources detection L band microwave radiation

Received: 10 December 2014 Published: 27 July 2015

PACS:

TP722.6

Fund:

The National 863 Program of China (2007AA092003); The Shanghai Science & Technology Commission Proiect Foundation of China (08DZ1206304)

Corresponding Authors: Wang Xiang E-mail: xxwang@nmemc.org.cn

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	Wang Xin-xin
	Wang Xiang
	Han Zhen
	Yang Jian-hong

Cite this article:

Wang Xin-xin,Wang Xiang,Han Zhen等. Radio Frequency Interference Detection and Characteristic Analysis Based on the L Band Stokes Parameters Remote Sensing Data[J]. JEIT, 2015, 37(10): 2342-2348.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT141577 OR http://jeit.ie.ac.cn/EN/Y2015/V37/I10/2342

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