Now showing items 1-5 of 5
Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks
In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occupied spectrum channels by measuring linear combinations of channel powers, instead of sweeping a set of channels sequentially. ...
Collaborative Spectrum Sensing from Sparse Observations Using Matrix Completion
In cognitive radio, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary users). Collaborative spectrum sensing among the cognitive radio nodes is expected to improve the ...
High Resolution OFDM Channel Estimation with Low Speed ADC using Compressive Sensing
Orthogonal frequency division multiplexing (OFDM) is a technique that will prevail in the next generation wireless communication. Channel estimation is one of the key challenges in an OFDM system. In this paper, we formulate ...
Oil Spill Sensor using Multispectral Infrared Imaging via L1 Minimization
Early detection of oil spill events is the key to environmental protection and disaster management. Current technology lacks the sensitivity and specificity in detecting the early onset of a small-scale oil spill event. ...
Compressive Sensing Based High Resolution Channel Estimation for OFDM System
Orthogonal frequency division multiplexing (OFDM) is a technique that will prevail in the next generation wireless communication. Channel estimation is one of the key challenges in OFDM, since high-resolution channel ...