CD3-OFDM: a new channel estimation method to improve the spectrum efficiency in digital terrestrial television systems

1995 ◽  
Author(s):  
V. Mignone
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Spectrum Efficiency ◽  
Digital Terrestrial Television

Channel Estimation Technique Based on Compressed Sensing

2013 ◽  
Vol 753-755 ◽  
pp. 2594-2597
Author(s):  
Xiao Feng Hu ◽  
Jian Lin Zhu
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Communication System ◽  
Estimation Method ◽  
Reconstruction Algorithm ◽  
Spectrum Efficiency ◽  
Estimation Technique ◽  
Spectrum Utilization ◽  
Pilot Signal ◽  
Signal Channel

The traditional channel estimation method in the communication system is based on the multipath channel intensive assume, lead to the spectrum utilization is low, compressed sensing theory provides a new way to solve this problem. The basic theory of compressed sensing is introduced, the feasibility of compressed sensing applied to channel estimation is explored, a detailed analysis several reconstruction algorithm of the compressed sensing channel estimation technologies: MP algorithm, OMP algorithm, CoSaMP. Studies have shown that fewer pilot signal channel estimation method based on compressed sensing theory to achieve the estimated performance comparable to traditional methods, thus improving spectrum efficiency.

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

Channel Estimation Method Using Arbitrary Amplitude and Phase Modulation Schemes for MIMO Sensor

2014 ◽  
Vol E97.B (10) ◽  
pp. 2102-2109
Author(s):  
Tsubasa TASHIRO ◽  
Kentaro NISHIMORI ◽  
Tsutomu MITSUI ◽  
Nobuyasu TAKEMURA
Keyword(s):  
Channel Estimation ◽  
Phase Modulation ◽  
Estimation Method ◽  
Arbitrary Amplitude ◽  
Modulation Schemes

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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