12 citations · 13 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
A Robust Beamformer Based on Weighted Sparse Constraint
Yipeng Liu, Qun Wan, Xiaoli Chu
Applying a sparse constraint on the beam pattern has been suggested to suppress the sidelobe level of a minimum variance distortionless response (MVDR) beamformer. In this letter,…
Improved OMP Approach to Sparse Multi-path Channel Estimation via Adaptive Inter-atom Interference Mitigation
Ruiming Yang, Qun Wan, Yipeng Liu +1
Since most components of sparse multi-path channel (SMPC) are zero, impulse response of SMPC can be recovered from a short training sequence. Though the ordinary orthogonal matchin…
Compressive Wideband Spectrum Sensing for Fixed Frequency Spectrum Allocation
Yipeng Liu, Qun Wan
Too high sampling rate is the bottleneck to wideband spectrum sensing for cognitive radio (CR). As the survey shows that the sensed signal has a sparse representation in frequency…
Minimum Variance Multi-Frequency Distortionless Restriction for Digital Wideband Beamformer
Yipeng Liu, Jia Xu, Qun Wan +1
This paper proposes a digital amplitude-phase weighting array based a minimum variance multi-frequency distortionless restriction (MVMFDR) to aviod the frequency band signal distor…
Anti-Sampling-Distortion Compressive Wideband Spectrum Sensing for Cognitive Radio
Yipeng Liu, Qun Wan
Too high sampling rate is the bottleneck to wideband spectrum sensing for cognitive radio in mobile communication. Compressed sensing (CS) is introduced to transfer the sampling bu…