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Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
(IEEE, 2016)
Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis
(Springer, 2015)
Due to the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential to ...
The Effect of Channel Models on Compressed Sensing Based UWB Channel Estimation
(IEEE, 2011)
Ultra-wideband (UWB) multipath channels are assumed to have a sparse structure as the received consecutive pulses arrive with a considerable time delay and can be resolved individually at the receiver. Due to this sparse ...
Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE, 2014)
In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider ...
Effect of inter-block-interference-free region on compressed sensing based channel estimation in TDS-OFDM systems
(Institute of Electrical and Electronics Engineers Inc., 2016)
Time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) is the basis technology for digital television standard (DTV) employed in some countries thanks to its high spectral efficiency when compared ...