High-precision measurement of satellite-borne SAR signal bandwidth based on channelized waterfall diagrams

Guoman Liu; Jiazhen Zhang; Yi Feng; Rui Peng

doi:10.1117/12.3017313

15 December 2023 High-precision measurement of satellite-borne SAR signal bandwidth based on channelized waterfall diagrams

Guoman Liu, Jiazhen Zhang, Yi Feng, Rui Peng

Author Affiliations +

Proceedings Volume 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023); 129710P (2023) https://doi.org/10.1117/12.3017313
Event: Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023, Changchun, China

Abstract

Spaceborne SAR has a vast scope of operation that is not restricted by national borders or airspace, so it has been extensively utilized in diverse fields. Due to its non-cooperation, it is difficult for the reconnaissance antenna to obtain the main lobe signal for parameter analysis and working mode identification of the SAR signal, especially when the spaceborne SAR imaging area is far from the location of the reconnaissance antenna. The reconnaissance receiving antenna can only receive a weak SAR signal with a low signal-to-noise ratio, resulting in a significant error in signal parameter measurement and making it unable to fulfill the analysis of its intended operation. Aiming to address the issue of significant measurement errors in spaceborne SAR signal bandwidth parameters under low signal-to-noise ratio conditions, a high-precision measurement method for spaceborne SAR signal bandwidth is proposed. This method is based on a channelized waterfall diagram, which involves accumulating the channelized signal twice to create the chart. The chirp signal on the waterfall chart is then extracted using an image processing technique to accurately measure the signal bandwidth. Additionally, scene simulation under low signal-to-noise ratio conditions is conducted. The simulation results show that even when the signal-to-noise ratio is as low as -10dB, the error in signal bandwidth measurement does not exceed 17%, indicating stable measurement accuracy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guoman Liu, Jiazhen Zhang, Yi Feng, and Rui Peng "High-precision measurement of satellite-borne SAR signal bandwidth based on channelized waterfall diagrams", Proc. SPIE 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023), 129710P (15 December 2023); https://doi.org/10.1117/12.3017313

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