%0 Journal Article %T Network Sorting Algorithm of Multi-Frequency Signal with Adaptive SNR<br>Network Sorting Algorithm of Multi-Frequency Signal with Adaptive SNR %A Xinyong Yu %A Ying Guo %A Kunfeng Zhang %A Lei Li %A Hongguang Li %J 北京理工大学学报（自然科学中文版) %D 2018 %R 10.15918/j.jbit1004-0579.201827.0207 %X 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.<br>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. %K frequency-hopping (FH) under-determined adaptive signal noise ratio (SNR) time-frequency (TF) signal source network sorting< %K br> %K frequency-hopping (FH) under-determined adaptive signal noise ratio (SNR) time-frequency (TF) signal source network sorting %U http://journal.bit.edu.cn/yw/bjlgyw/ch/reader/view_abstract.aspx?file_no=20180207&flag=1