نتایج جستجو برای: sparse channel estimation

تعداد نتایج: 528998  

Journal: :IEEE Transactions on Communications 2021

Novel sparse reconstruction algorithms are proposed for beamspace channel estimation in massive multiple-input multiple-output systems. The minimize a least-squares objective having nonconvex regularizer. This regularizer removes the penalties on few large-magnitude elements from conventional <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlin...

Journal: :IEEE Transactions on Wireless Communications 2022

This paper proposes an off-grid channel estimation scheme for orthogonal time-frequency space (OTFS) systems adopting the sparse Bayesian learning (SBL) framework. To avoid spreading caused by fractional delay and Doppler shifts to fully exploit sparsity in delay-Doppler (DD) domain, we estimate original DD domain response rather than effective as commonly adopted literature. OTFS is firstly fo...

اخوت, مجید , خالقی بیزکی , حسین , علیزاده , سجاد ,

In this paper, we improve the performance of the TiR-UWB communication systems with the non-ideal estimation of the channel. Time Reversal (TiR) technique is an effective and simple method for data transmission in extremely multipath indoor UWB channels that mitigates the complexity of receiver by its own time focusing feature. Although, TiR method has the suitable performance, but it is sensit...

2017
Jisheng Dai Vincent K. N. Lau

This paper addresses the problem of downlink channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. The existing methods usually exploit hidden sparsity under a discrete Fourier transform (DFT) basis to estimate the cdownlink channel. However, there are at least two shortcomings of these DFT-based methods: 1) they are applicable to unifor...

Journal: :Int. J. Communication Systems 2014
Guan Gui Fumiyuki Adachi

Both least mean square (LMS) and least mean fourth (LMF) are popular adaptive algorithms with application to adaptive channel estimation. Because the wireless channel vector is often sparse, sparse LMS-based approaches have been proposed with different sparse penalties, for example, zero-attracting LMS and Lp-norm LMS. However, these proposed methods lead to suboptimal solutions in low signal-t...

Journal: :CoRR 2010
Guan Gui Wei Peng Qun Wan Fumiyuki Adachi

Broadband wireless channel is a time dispersive and becomes strongly frequency selective. In most cases, the channel is composed of a few dominant coefficients and a large part of coefficients is approximately zero or zero. To exploit the sparsity of multi-path channel (MPC), there are various methods have been proposed. They are, namely, greedy algorithms, iterative algorithms, and convex prog...

2018
Lenan Wu

Existing works design the pilot pattern for sparse channel 6 estimation, assuming that the power of all pilots is equal. However, equal 7 power allocation is not optimal in cognitive radio (CR) systems. In this cor8 respondence, we jointly design the pilot power and pilot pattern for sparse 9 channel estimation in orthogonal-frequency-division-multiplexing-based 10 CR systems, based on the rule...

Journal: :CoRR 2017
Luc Le Magoarou Stéphane Paquelet

Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation task is studied, considering a sparse channel model particularly suited to millimeter wave propagation, as well as a general measurement model taking into account hybrid architectures. The contribution is twofold. First...

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