MAC Layer Approaches for Mitigating the Spectrum Underutilization Due to Overlapping BSS Problem in WLAN

Guo, Yi; Lu, I‐Tai; Fang, Juan; Liu, Gang; Ge, Jianhua

doi:10.1007/s11277-018-6113-7

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Blind source separation (BSS) [1][2] technology refers to the process of separating each source signal only using the observed signal when the transmission channel and the source signals are unknown. BSS algorithm has been widely used in biomedicine [3][4][5] , signal processing [6][7][8][9] , and mobile communication [10][11] . In recent years, single-channel BSS (SCBSS), as an extreme case of BSS, has gradually become a major research topic in the eld of signal processing.…”

Section: Introductionmentioning

confidence: 99%

Improved Single-Channel Blind Source Separation Algorithm based on Variational Mode Decomposition

Zhou

Fan³

et al. 2022

Preprint

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In this paper, we propose an improved single-channel blind source separation (SCBSS) algorithm based on variational modal decomposition (VMD). VMD algorithm is a classical algorithm in SCBSS. The algorithm effectively avoids the end effect and mode mixing, and makes the decomposition more stable. However, the algorithm can not adaptively determine the number of decomposition layers. To solve this problem, we propose an improved adaptive VMD algorithm, which determines the decomposition layer of different signals by setting different spectral correlation coefficient thresholds. Combined with the improved source number estimation algorithm, signal preprocessing algorithm and JADE algorithm, SCBSS of the received mixed signal can be realized. Simulation results show that the algorithm can accurately separate source signals without bit error under different SNR and degrees of spectrum aliasing. The algorithm is effective and feasible.

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