A SNR-adaptive Multi-FH Signal Sorting Method for Under-determined Condition
YU Xinyong
GUO Ying
ZHANG Kunfeng
MENG Di
Abstract：Aimed at sorting frequency-hopping networks for under-determined multi-hopping signals,this paper utilizes the temporal sparsity of frequency hopping signals and adopted time-frequency ratio of the original source in hopping signals to estimate hybrid matrix.In calculating the time-frequency matrix,this paper uses the fast overall K average cluster through combination of subspace projection and relative power offset to realize the FH sorting for under-determined condition.Meanwhile,in order to improve the performance of sorting under low SNR condition,the adaptive SNR time-frequency supporting point method is adopted into searching the original single source point.The algorithm is verified by theoretical analysis and simulation.
Keywords：frequency-hopping (FH)under-determinednetwork sortingadaptive SNR
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 86-91 )