伪随机噪声序列在微波辐射计标定中的应用

I. Ramos-Pérez, X. Bosch-Lluis, Adriano Camps, J. Marchan-Hernandez, N. Rodriguez-Alvarez, E. Valencia
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引用次数: 4

摘要

在ESApsilas SMOS任务中,利用孔径合成技术(MIRAS)对微波成像辐射计等大孔径合成干涉辐射计进行定标是一个关键问题。由于接收通道众多,基于单一噪声源集中注入噪声的校准技术需要一个庞大而稳定的配电网,从质量、体积和相位均衡的角度来看,这是不可行的。分布式噪声注入技术已经被提出,但不能纠正所有类型的错误。本文分析了用伪随机噪声(PRN)代替集中噪声源的可能性。PRN序列是具有很长的重复周期和相对平坦的频谱的信号,其带宽由序列长度和符号速率决定。由于它们的频谱与噪声的频谱相似,因此微波相关辐射计的校准可以从它们的使用中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Pseudo-Random Noise sequences in microwave radiometer calibration
The calibration of large aperture synthesis interferometric radiometers such as the Microwave Imaging Radiometer by Aperture Synthesis (MIRAS) aboard ESApsilas SMOS mission is a crucial issue. Due to the large number of receiving channels, calibration techniques based on the centralized noise injection from a single noise source would require a large and stable distribution network, which is unfeasible from the point of view of mass, volume and phase equalization. Distributed noise injection techniques have been proposed, but are unable to correct for all types of errors. This work analyzes the possibility of using pseudo-random noise (PRN) instead of a centralized noise source. PRN sequences are signals with very long repetition period and relatively flat spectrum over a bandwidth determined by the length of the sequence and the symbol rate. Since their spectrum looks like that of the noise, calibration of a microwave correlation radiometers can benefit from their use.
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