Broadband spectrum reconstruction method and system for low earth orbit satellite signals

By employing multi-coset compressed sampling and deep neural network compressed sensing technologies, the problems of scarce spectrum resources and high hardware costs and energy consumption caused by high sampling rates in low-Earth orbit satellite networks have been solved. This has enabled high-precision spectrum reconstruction at low sampling rates, improving spectrum monitoring efficiency and real-time performance.

CN120415543APending Publication Date: 2025-08-01FUDAN UNIVERSITY
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Patent Information

Application Number
CN202510642669.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-19
Publication Date
2025-08-01

AI Technical Summary

Technical Problem

In low-Earth orbit satellite networks, spectrum resources are scarce and traditional spectrum sensing technologies rely on high sampling rates, resulting in high hardware costs and energy consumption, making it difficult to efficiently achieve broadband spectrum reconstruction on resource-constrained satellite platforms.

Method used

By employing multi-coset compressed sampling and deep neural network compressed sensing techniques, broadband spectrum reconstruction at low sampling rates is achieved through multi-coset compressed sampling and neural network reconstruction, reducing the dependence on high-speed ADCs. The nonlinear fitting capability and signal sparsity of neural networks are utilized for spectrum reconstruction.

Benefits of technology

It achieves high-precision spectrum reconstruction at low sampling rates, reduces hardware costs and energy consumption, improves the efficiency and real-time performance of spectrum monitoring, and supports dynamic spectrum allocation and interference management.

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Abstract

The invention discloses a broadband spectrum reconstruction method and system for low-orbit satellite signals, and the method comprises the steps: S1, carrying out the sampling of the low-orbit satellite signals through multi-coset compression sampling, and obtaining the sampling data; s2, performing fast Fourier transform on the sampled data to obtain a measured value matrix; and S3, reconstructing the input signal # imgabs2 # according to the measured value matrix # imgabs0 # and the sensing matrix # imgabs1 # by adopting a neural compressed sensing method, and taking the reconstructed input signal # imgabs3 # as the broadband frequency spectrum of the low-orbit satellite signal. According to the method, more accurate spectrum reconstruction can be realized; and the method also has relatively high performance in a scene with limited samples. According to the method, multi-coset compression sampling is adopted, so that the cost of signal acquisition equipment can be reduced.
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