Network Sorting Algorithm of Multi-Frequency Signal with Adaptive SNR

TN911.7; An signal noise ratio (SNR) adaptive sorting algorithm using the time-frequency (TF) sparsity of frequency-hopping (FH) signal is proposed in this paper.Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined conditio...

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Veröffentlicht in:北京理工大学学报(英文版) 2018-06, Vol.27 (2), p.206-212
Hauptverfasser: Xinyong Yu, Ying Guo, Kunfeng Zhang, Lei Li, Hongguang Li
Format: Artikel
Sprache:eng
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Zusammenfassung:TN911.7; An signal noise ratio (SNR) adaptive sorting algorithm using the time-frequency (TF) sparsity of frequency-hopping (FH) signal is proposed in this paper.Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined condition;then the SNR adaptive pivot threshold setting method is used to find the TF single source.The mixed matrix is estimated according to the TF matrix of single source.Lastly,signal sorting is realized through improved subspace projection combined with relative power deviation of source.Theoretical analysis and simulation results show that this algorithm has good effectiveness and performance.
ISSN:1004-0579
DOI:10.15918/j.jbit1004-0579.201827.0207