论文部分内容阅读
目前欧空局的土壤湿度和海洋盐度遥感(SMOS)卫星遭遇了严重的射频干扰,且发现在中国地区的射频干扰较多。提出了一种基于SMOS卫星数据的射频干扰检测算法。采用该算法对SMOS卫星L1-c级的观测数据进行分析,得到了中国地区L波段射频干扰的地理位置分布、部分射频干扰的来源、随时间和方向变化等特征。这些结果可为我国L波段星载遥感器的应用以及射频干扰检测、抑制提供参考,亦可为无线电管理提供参考。
At present, ESA’s soil moisture and ocean salinity remote sensing (SMOS) satellite experienced severe radio frequency interference and found more radio frequency interference in China. A radio frequency interference detection algorithm based on SMOS satellite data is proposed. Using this algorithm, the observed data of L1-c class of SMOS satellites are analyzed. The geographical location of L-band radio frequency interference in China, the source of some radio frequency interference, and the variation with time and direction are obtained. These results can provide a reference for the application of L-band spaceborne remote sensor in our country, as well as for the detection and suppression of radio frequency interference, and also provide a reference for radio management.