Now showing items 1-5 of 5
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
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 ...
The effect of channel resolution on compressed sensing based Ultra-Wideband channel estimation [Kanal çözünürlüǧünün sıkıştırılmış algılama tabanlı ultra geni̇ş bantlı kanal kesti̇ri̇mi̇ne etki̇si̇]
Ultra short pulses are transmitted in Ultra-Wideband (UWB) communications. As a result of this pulses at the receiver can be resolved individually due to the sparse structure of the channel. Due to these properties the UWB ...
Bayesian compressive sensing for ultra-wideband channel models
Considering 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 ...
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
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 ...
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 ...