Sparse Bayesian learning for compressed sensing under measurement matrix uncertainty
For Compressed Sensing (CS), the core problem is how to reconstruction the sparse
unknown signal based on an underdetermined linear equation. Sparse Bayesian Learning …
unknown signal based on an underdetermined linear equation. Sparse Bayesian Learning …
Channel estimation for OFDM systems over doubly selective channels: A distributed compressive sensing based approach
Channel estimation for an orthogonal frequency-division multiplexing (OFDM) broadband
system over a doubly selective channel is very challenging. This is mainly due to the …
system over a doubly selective channel is very challenging. This is mainly due to the …
Ultrawideband channel estimation: A Bayesian compressive sensing strategy based on statistical sparsity
X Cheng, M Wang, YL Guan - IEEE Transactions on Vehicular …, 2014 - ieeexplore.ieee.org
To cope with the formidable sampling rate required by Nyquist criterion, compressive
sensing (CS) has been recently adopted for ultrawideband (UWB) channel estimation. In this …
sensing (CS) has been recently adopted for ultrawideband (UWB) channel estimation. In this …
Group sparse estimation of time-varying delay OFDM channels based on compressed sensing
X Zhou, J Zhang, L Li, P Wang - Journal of Computational …, 2012 - research.monash.edu
Time-varying delay fading of propagating channels degrades the performance of orthogonal
frequency-division multiplexing (OFDM) systems. The theory of compressed sensing (CS) …
frequency-division multiplexing (OFDM) systems. The theory of compressed sensing (CS) …
An adaptive sparse channel estimation algorithm for OFDM systems based on distributed compressive sensing
Z Zheng, H Liu, J Zhu, Q You… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The current greedy iterative pursuit algorithms for sparse channel estimation in an
orthogonal frequency division multiplexing (OFDM) system based on compressive sensing …
orthogonal frequency division multiplexing (OFDM) system based on compressive sensing …
Block Bayesian sparse learning algorithms with application to estimating channels in OFDM systems
Cluster-sparse channels often exist in frequency-selective fading broadband communication
systems. The main reason is received scattered waveform exhibits cluster structure which is …
systems. The main reason is received scattered waveform exhibits cluster structure which is …
Two-Stage Joint BEM-OTFS Channel Estimation Algorithm Based Sparse Bayesian Learning Algorithm
Z Zhou, H Jia, B Fang, D Zhao, Y Xin… - 2023 IEEE 15th …, 2023 - ieeexplore.ieee.org
In this paper, a two-stage BEM-OTFS channel sparse Bayesian learning (SBL) estimation
algorithm is proposed to address the problem of increasing error of the compressed sensing …
algorithm is proposed to address the problem of increasing error of the compressed sensing …
Application of compressive sensing to sparse channel estimation
Compressive sensing is a topic that has recently gained much attention in the applied
mathematics and signal processing communities. It has been applied in various areas, such …
mathematics and signal processing communities. It has been applied in various areas, such …
Channel estimation of OQAM/OFDM based on compressed sensing
X Liu, X Chen, L Xue, Z Xie - IEICE Transactions on …, 2017 - search.ieice.org
In this paper, we investigate a novel preamble channel estimation (CE) method based on
the compressed sensing (CS) theory in the orthogonal frequency division multiplexing …
the compressed sensing (CS) theory in the orthogonal frequency division multiplexing …