44 citations · 100 across the 27 of their papers we have counts for
17 papers · 1 filter
Sparse Channel Estimation for Amplify-and-Forward Two-way Relay Network with Compressed Sensing
Guan Gui, Qun Wan, Wei Peng +1
Amplify-and-forward two-way relay network (AFTWRN) was introduced to realize high-data rate transmission over the wireless frequency-selective channel. However, AFTWRC requires the…
Compressive Channel Estimation for Two-way Relay Network in a Frequency-Selective Channel with Compressed Sensing
Guan Gui, Qun Wan, Fumiyuki Adachi +1
Two-way relay network (TWRN) was introduced to realize high-data rate transmission over the wireless frequency-selective channel. However, TWRC requires the knowledge of channel st…
Compressive Direction Finding Based on Amplitude Comparison
Ruiming Yang, Yipeng Liu, Qun Wan +1
This paper exploits recent developments in compressive sensing (CS) to efficiently perform the direction finding via amplitude comprarison. The new method is proposed based on unim…
Enhanced Compressive Wideband Frequency Spectrum Sensing for Dynamic Spectrum Access
Yipeng Liu, Qun Wan
Wideband spectrum sensing detects the unused spectrum holes for dynamic spectrum access (DSA). Too high sampling rate is the main problem. Compressive sensing (CS) can reconstruct…
Inter-atom Interference Mitigation for Sparse Signal Reconstruction Using Semi-blindly Weighted Minimum Variance Distortionless Response
Ruiming Yang, Qun Wan, Yipeng Liu +1
The feasibility of sparse signal reconstruction depends heavily on the inter-atom interference of redundant dictionary. In this paper, a semi-blindly weighted minimum variance dist…
Anti-measurement Matrix Uncertainty Sparse Signal Recovery for Compressive Sensing
Yipeng Liu, Qun Wan, Fei Wen +2
Compressive sensing (CS) is a technique for estimating a sparse signal from the random measurements and the measurement matrix. Traditional sparse signal recovery methods have seri…