A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems

2014 ◽  
Author(s):  
Pei He ◽  
Zhixin Li ◽  
Xuan Wang
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Snr Estimation

A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

2010 ◽  
Vol E93-B (8) ◽  
pp. 2211-2214
Author(s):  
Bin SHENG ◽  
Pengcheng ZHU ◽  
Xiaohu YOU ◽  
Lan CHEN
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Sparse Channel

scholarly journals Channel Estimation methods with low complexity for 3GPP/LTE

2014 ◽  
Vol Volume 18, 2014 ◽  
Author(s):  
Moussa Diallo ◽  
Maryline Helard
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Low Complexity ◽  
Estimation Methods ◽  
Ofdm Systems ◽  
Border Effect ◽  
Noise Component ◽  
System Parameters ◽  
Truncated Svd ◽  
Truncation Threshold

International audience OFDM based pilots channel estimation methods with processing into the transform domain appear attractive owing to their capacity to highly reduce the noise component effect. However, in current OFDM systems, null subcarriers are placed at the edge of the spectrum in order to assure isolation from interfering signals in neighboring frequency bands; and the presence of these null carriers may lead, if not taken into account, to serious degradation of the estimated channel responses due to the “border effect” phenomenon. In this paper an improved algorithm based on truncated SVD is proposed in order to correctly support the case of null carriers at border spectrum. A method for optimizing the truncation threshold whatever the system parameters is also proposed. To make the truncated SVD channel estimation method applicable to any SISO or MIMO OFDM system and whatever the system parameters, a complexity reduction algorithm based on the distribution of the power in the transfer matrix (based on DFT or DCT) is proposed. Les techniques d’estimation de canal, basée sur des symboles pilotes, par passage dansun domaine de tranfert sont très attractives pour les systèmes de télécommunications utilisant l’OFDM.Cependant, elles montrent des limites pour les systèmes de télécommunications, où un ensemble desous-porteuses de garde, est inséré sur les bords du spectre dans le but d’éviter tout recouvrementspectral avec d’autres applications utilisant des bandes voisines. Ces sous-porteuses de gardeont selon leur nombre tendance à dégrader fortement les performances de ces estimateurs. Nousproposons, dans un premier temps, une optimisation qui permet d’améliorer considérablement lesperformances de ces estimateurs quels que soit le nombre de porteuses de garde. Dans un secondtemps, pour de rendre l’estimateur proposé attractif pour les constructeurs, nous avons proposé unetechnique permettant de réduire leur complexité de réalisation de manière notable.

scholarly journals A Low-Complexity Pilot-Based Frequency-Domain Channel Estimation for ICI Mitigation in OFDM Systems

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1404
Author(s):  
Francisco J. Martín-Vega ◽  
Gerardo Gómez
Keyword(s):  
Channel Estimation ◽  
Frequency Domain ◽  
Signal To Noise Ratio ◽  
Minimum Mean Square Error ◽  
Estimation Method ◽  
Low Complexity ◽  
High Signal ◽  
Ofdm Systems ◽  
Coupling Matrix ◽  
Pilot Pattern

A low-complexity pilot pattern and a frequency-domain channel estimation method for Inter-Carrier Interference (ICI) mitigation is proposed for Orthogonal Frequency Division Multiple Access (OFDM) systems. The proposed method exploits the band structure of the coupling matrix to perform an ICI-free channel estimation in the frequency domain. This ICI-free estimation relies on some conditions imposed over the pilot pattern that simplify the complexity of channel estimation significantly, since its complexity is the same as classical least squares (LS) channel estimation used in low mobility scenarios. Then, the ICI is removed by using a modified version of Minimum Mean Square Error (MMSE) equalization, which reduces the computational complexity considerably. This modified MMSE equalization relies on the sparse and banded structure of the coupling matrix and on a low complexity variant of the Cholesky decomposition, which is named LDLH factorization. It is shown that the proposed method greatly improves the Bit Error Rate (BER) in the high Signal-to-Noise Ratio (SNR) regime.

Zero Taps Detection-Based Sparse Channel Estimation Method for OFDM Systems

2014 ◽  
Vol 513-517 ◽  
pp. 2577-2580
Author(s):  
Xue Jiao Zheng ◽  
Jian Jiao
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Ofdm Systems ◽  
Detection Problem ◽  
Sparse Channel Estimation ◽  
Precise Evaluation ◽  
Moderate Complexity ◽  
Sparse Channel

The channel whose impulse response contains a large number of zero taps is sparse. Exploiting the sparsity of the channel, the estimation problem can be converted into an on-off keying (OOK) detection problem. Therefore, a sparse channel estimation algorithm was proposed. First, with an initial estimate, posed a detection problem by casting the determination of non-zero taps into an OOK communication problem; then took precise evaluation against the established non-zero taps position. In the simulation, the proposed algorithm was compared to the standard LSE via simulations in terms of MSE and BER. The results show that, the proposed algorithm can provide the best performance while maintaining moderate complexity.

A Sparsity Enhanced Channel Estimation Algorithm Based on Compressed Sensing in MIMO-OFDM Systems

2014 ◽  
Vol 35 (3) ◽  
pp. 665-670 ◽  
Author(s):  
Zhi-bin Xie ◽  
Tong-si Xue ◽  
Yu-bo Tian ◽  
Wei-chen Zou ◽  
Qing-hua Liu ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Estimation Algorithm ◽  
Ofdm Systems ◽  
Mimo Ofdm

scholarly journals Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xiao Chen ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang
Keyword(s):  
Channel Estimation ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Communication Systems ◽  
Mimo Systems ◽  
Beam Steering ◽  
Estimation Method ◽  
Low Complexity ◽  
Estimation Accuracy ◽  
Hybrid Architecture

Abstract In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

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