Design of a satellite spectrum detection method based on morphological iterative

Chenxu Yang; Zhongyong Wang; Xiangyang Zheng; Hua Jiang; Peng Sun; Wei Wang

doi:10.1117/12.2687199

6 August 2023 Design of a satellite spectrum detection method based on morphological iterative

Chenxu Yang, Zhongyong Wang, Xiangyang Zheng, Hua Jiang, Peng Sun, Wei Wang

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 127812G (2023) https://doi.org/10.1117/12.2687199
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

Satellites are playing an increasingly irreplaceable role in communication systems. Aiming at the complex satellite spectrum environment, a satellite spectrum detection algorithm using morphological scale iterative filter to achieve noise floor estimation and adjusting the filtering threshold at each frequency point to filter out the noise base is proposed. The frequency band range of each signal is automatically divided according to the spectrum shape, and the interference caused by white noise and strong pulse to the measurement of signal center frequency and 3dB bandwidth parameter is reduced by cyclic smoothing. This method needs no prior information, and the noise base estimation is more accurate, realizing the detection of satellite spectrum and parameter measurement. The experimental simulation shows that the algorithm can effectively overcome the color noise and realize the spectrum detection and center frequency and bandwidth measurement.

Citation Download Citation

Chenxu Yang, Zhongyong Wang, Xiangyang Zheng, Hua Jiang, Peng Sun, and Wei Wang "Design of a satellite spectrum detection method based on morphological iterative", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 127812G (6 August 2023); https://doi.org/10.1117/12.2687199

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KEYWORDS

Signal detection

Interference (communication)

Satellites

Detection and tracking algorithms

Smoothing

Signal to noise ratio

Electronic filtering

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