Measured Performance of Improved Cross Frequency Algorithm for Detection of RFI from DTV

Steen Savstrup Kristensen, Sten Schmidl Sobitera, N. Skou, J. Lahtinen, J. Uusitalo, D'Addio Salvatore
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引用次数: 2

Abstract

Ku-band is used for measuring ocean wind velocities from meteorological satellites. Ku-band is also used for broadcasting DirectTV signals from satellites over the United States. The reflection of these signals are seen as RFI by the meteorological satellites and algorithms for detecting and blanking natural signals affected by RFI have to be developed. This paper presents a new algorithm targeted for detecting these DirectTV signals. The algorithm is implemented in firmware and its performance measured using a bread-board real time RFI processor developed for spaceborne radiometers and the DTU Space Ku-band radiometer POLRAD. It is shown that the new algorithm has a better performance than the traditional cross frequency algorithm for wideband RFI. It is also shown that the traditional cross frequency algorithm has a better performance than the new with respect to narrowband RFI. The new algorithm can thus augment but not substitute the tradition cross frequency algorithm.
改进交叉频率算法检测数字电视射频信号的性能实测
ku波段用于从气象卫星上测量海洋风速。ku波段也用于从美国上空的卫星广播DirectTV信号。这些信号的反射被气象卫星视为射频干扰,必须开发检测和抑制受射频干扰影响的自然信号的算法。本文针对这些DirectTV信号提出了一种新的检测算法。该算法在固件中实现,并使用为星载辐射计和DTU空间ku波段辐射计POLRAD开发的面包板实时RFI处理器对其性能进行了测试。实验结果表明,该算法在宽带RFI中具有比传统交叉频率算法更好的性能。在窄带RFI方面,传统的交叉频率算法比新的交叉频率算法具有更好的性能。因此,新算法是对传统交叉频算法的补充,但不能替代。
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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