17 citations · 39 across the 7 of their papers we have counts for
5 papers · 1 filter
GLRT-Based Spectrum Sensing with Blindly Learned Feature under Rank-1 Assumption
Peng Zhang, Robert Qiu
Prior knowledge can improve the performance of spectrum sensing. Instead of using universal features as prior knowledge, we propose to blindly learn the localized feature at the se…
Demonstration of Spectrum Sensing with Blindly Learned Feature
Peng Zhang, Robert Qiu, Nan Guo
Spectrum sensing is essential in cognitive radio. By defining leading \textit{eigenvector} as feature, we introduce a blind feature learning algorithm (FLA) and a feature template…
Cooperative Wideband Spectrum Sensing for the Centralized Cognitive Radio Network
Peng Zhang, Robert Qiu
Various primary user (PU) radios have been allocated into fixed frequency bands in the whole spectrum. A cognitive radio network (CRN) should be able to perform the wideband spectr…
Spectrum Sensing Based on Blindly Learned Signal Feature
Peng Zhang, Robert Qiu
Spectrum sensing is the major challenge in the cognitive radio (CR). We propose to learn local feature and use it as the prior knowledge to improve the detection performance. We de…
Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing
Peng Zhang, Robert Qiu
Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in compressed sensing (CS) initialized several sub-Nyquist rate approaches to overcom…