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Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
(Wiley-Blackwell, 2014)
Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...
Bayesian Compressive Sensing For Primary User Detection
(Inst Engıneerıng Technology-IET, 2016)
In compressive sensing (CS)-based spectrum sensing literature most studies consider accurate reconstruction of the primary user signal rather than detection of the signal. Furthermore possible absence of the signal is not ...
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 Primary User Bandwidth on Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE, 2015)
The application of compressive sensing (CS) theory has found great interest in wideband spectrum sensing. Although most studies have considered perfect reconstruction of the primary user signal it is actually more important ...
Effect of Inter-Block-Interference-Free Region on Compressed Sensing Based Channel Estimation in TDS-OFDM Systems
(IEEE, 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 ...
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
(IEEE, 2016)
In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a ...
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
(IEEE, 2004)
Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...
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 ...
The Effect of Primary User Bandwidth on Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE Computer Society, 2016)
The application of compressive sensing (CS) theory has found great interest in wideband spectrum sensing. Although most studies have considered perfect reconstruction of the primary user signal it is actually more important ...