Automatic Detection and Identification of RFI Sources for SMAP Satellite Polarized Data Based on IDL

Xinxin Wang, Xiang Wang, Jianchao Fan, Jianhua Zhao, Yu Wang, Enbo Wei
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Abstract

The SMAP satellite is the third scientific research satellite to be equipped with an L-band microwave radiometer, following on from the SMOS and Aquarius. The working frequency band of SMAP is 1.413 GHz, a protected frequency band which is becoming more polluted from a large amount of radio frequency interference (RFI)around the world. In this paper, an automatic processing system that can realize RFI detection, clustering, identification and localization is constructed based on an IDL development platform. Long-term serial cross-polarization data from the SMAP satellite L-band microwave radiometer is used as a data source to realize preliminary detection and localization of nonlinearly varying terrestrial RFI. Localization of the RFI sources has an important guiding significance for the relevant institutions by accelerating the identification of illegal RFI sources so that they can be shut down. Even for RFI sources that are temporarily unable to be turned off, RFI source localization and long-sequence feature analysis are still significant in order to simulate terrestrial RFI transmission antenna patterns and establishing RFI suppression models.
基于IDL的SMAP卫星极化数据RFI源自动检测与识别
SMAP卫星是继SMOS和Aquarius之后第三颗配备l波段微波辐射计的科学研究卫星。SMAP的工作频段为1.413 GHz,这是一个受到世界范围内大量射频干扰(RFI)污染的保护频段。本文基于IDL开发平台,构建了一个能够实现RFI检测、聚类、识别和定位的自动处理系统。以SMAP卫星l波段微波辐射计的长期序列交叉极化数据为数据源,实现了非线性变化地面射频信号的初步探测和定位。RFI来源的本土化对于相关机构加快识别非法RFI来源,进而关闭非法RFI来源具有重要的指导意义。即使对于暂时无法关闭的RFI源,为了模拟地面RFI传输天线方向图,建立RFI抑制模型,RFI源定位和长序列特征分析仍然具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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