Sparse Channel Estimation
Sparse channel estimation by pilot allocation in MIMO OFDM systems
... systems, channel estimation is of crucial importance to the performance of coherent ...obtain channel state information (CSI) to support precoding and ...the channel, sparse ...
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Near-optimal pilot allocation in sparse channel estimation for massive MIMO OFDM systems
... in channel estimation due to the high dimensional channel matrix to be ...the sparse recovery algorithms in compressive sensing (CS), which could estimate the sparse channel by ...
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Deterministic pilot pattern allocation optimization for sparse channel estimation based on CS theory in OFDM system
... and channel equalization of the receiver all need precise channel state information (CSI) and there- fore the channel estimation plays a crucial ...CS-based sparse channel ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... systems, channel impulse response in time domain is often described by a sparse channel model, supported by a few large ...adaptive channel estimation method never takes advantage of ...
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Improved Channel Estimation for DVB-T2 Systems by Utilizing Side Information on OFDM Sparse Channel Estimation
... the channel effects by utilizing its ...inherently sparse, it is possible to utilize sparse representation (SR) methods to estimate the ...the channel, there is usually some additional ...
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Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM
... couples channel estimation with multiple-input multiple-output (MIMO) detection and low-density parity-check (LDPC) channel ...the channel estimator is based on a compressive sensing technique ...
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Sparse Channel Estimation with Zero Tap Detection
... very sparse structure. Sparse channel estimation has gained some interest of late [1, 2] due to the fact that certain cellular [4, 5] and underwater channel models are best modeled as ...
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Sparse channel estimation of MIMO OFDM systems with unconstrained smoothed l0 norm regularized least squares compressed sensing
... require channel state informa- tion (CSI) at the ...Therefore, channel estima- tion is of crucial importance to MIMO-OFDM ...the channel may consist of only a few dominant propagation (non- zero) ...
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Soft-Decision-Driven Sparse Channel Estimation and Turbo Equalization for MIMO Underwater Acoustic Communications
... quality channel estimation is ...soft-decision-driven sparse channel estimation and turbo equalization scheme in the triply selective MIMO ...for sparse single-input ...
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Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system
... variant channel by providing DPS sequences basis, performs better than other types of BEM, because DPS sequences is set to approximate bandlimited channels over finite time windows, alleviating spectral leakage ...
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A novel method for sparse channel estimation using super resolution dictionary
... frequency-selective channel based on generalized Akaike information criterion and least squares (LS) algo- rithm, which greatly reduces the calculation burden of LS algorithm ...is sparse in a certain ...
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OFDM pilot allocation for sparse channel estimation
... (1) Decreasing MSE: Generally, the purpose of using compressed sensing methods in solving a lin- ear set of equations with the sparsity constraint is to achieve the Cramer Rao lower bound on MSE [9]. In extreme cases, ...
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Compressive Estimation of Cluster-Sparse Channels
... Conventional sparse channel estimation methods often ignore the additional structure in the problem ...compressive channel estimation (CCE) method using block orthogonal matching ...
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Fast Sparse Multipath Channel Estimation with Smooth L0 Algorithm for Broadband Wireless Communication Systems
... novel sparse channel estimation method with SL0 algorithm which combines stable and ...to sparse channel esti- mation problem in the multiple antennas systems and cooperative ...
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Adaptive Algorithms for Sparse Nonlinear Channel Estimation
... wireless channel is modeled by sparse fading rays and long zero samples and thus admits a sparse representation ...a sparse model ...if sparse nonlinear models are employed for the ...
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Variable step size based sparse adaptive filtering algorithm for channel estimation in broadband wireless communication systems
... the channel sparsity, invariable step-size zero-attracting normalized least mean square (ISS-ZA-NLMS) algorithm was applied in adaptive sparse channel estimation ...
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Robust and sparse estimation of large precision matrices
... biased estimation of the precision matrix (see Finegold and Drton, 2011; Liu et ...covariance estimation such as M-estimates (Maronna, 1976), Minimum Volume Ellipsoid (MVE) and Minimum Covariance ...
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A Sparse-Based Clutter Suppression Methodology for Single Channel SAR
... Considering that the response functions of MTs are usually distributed in small patches of SAR imagery, we do not need to use the original radar data directly. The patch decomposition operation, which can be acquired by ...
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Channel Estimation with Improved OFDM
... is channel estimation .Channel estimation is actually a coherent detection of the received ...signal. Channel estimation in OFDM is usually performed with the aid of pilot ...
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Adaptive robust estimation in sparse vector model
... the sparse sequence model and in the sparse linear regression model with "well spread" ...in sparse linear regression with "well spread" regressors (that is, having positive ...
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