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2022
DOI: 10.3390/s22103800
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NC-OFDM Satellite Communication Based on Compressed Spectrum Sensing

Abstract: With the fast development of giant LEO constellations, the effective spectrum utilization has been regarded as one of the key orientations for satellite communications. This paper focuses on improving the spectrum utilization efficiency of satellite communications by proposing a non-continuous orthogonal frequency division multiplexing (NC-OFDM) method. Based on the models of NC-OFDM system, we first propose a sub-carrier allocation method by using spectrum sensing to efficiently perceive and utilize the spect… Show more

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Cited by 2 publications
(4 citation statements)
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“…Although the MMSE equalizers perform superior to other linear equalization techniques, their complexity makes them impractical for scenarios involving long symbols, such as broadcasting applications. This is primarily due to the computationally intensive matrix inversion process, as indicated by equation (12). Many alternative equalizers have been devised to tackle the intricacies connected with MMSE equalization.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
confidence: 99%
See 3 more Smart Citations
“…Although the MMSE equalizers perform superior to other linear equalization techniques, their complexity makes them impractical for scenarios involving long symbols, such as broadcasting applications. This is primarily due to the computationally intensive matrix inversion process, as indicated by equation (12). Many alternative equalizers have been devised to tackle the intricacies connected with MMSE equalization.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
confidence: 99%
“…The MMSE equations pose a challenge due to the computational complexity associated with matrix inversion, as demonstrated in equation (12). One innovative way to simplify the MMSE equations is to execute the matrix inversion iteratively.…”
Section: Proposed Conjugate Gradient Least Squares Algorithmmentioning
confidence: 99%
See 2 more Smart Citations