Adaptive Sparse Channel Estimation Based on RLS for Underwater Acoustic OFDM Systems

2016 ◽  
Author(s):  
Xiao-Lin Shi ◽  
Yi-Xin Yang
Keyword(s):  
Channel Estimation ◽  
Ofdm Systems ◽  
Underwater Acoustic ◽  
Sparse Channel Estimation ◽  
Sparse Channel

scholarly journals Bayesian Learning-Based Clustered-Sparse Channel Estimation for Time-Varying Underwater Acoustic OFDM Communication

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4889
Author(s):  
Shuaijun Wang ◽  
Mingliu Liu ◽  
Deshi Li
Keyword(s):  
Channel Estimation ◽  
Bayesian Learning ◽  
Distribution Model ◽  
Estimation Accuracy ◽  
Delay Spread ◽  
Time Varying ◽  
Ofdm Systems ◽  
Underwater Acoustic ◽  
Sparse Channel Estimation ◽  
Sparse Channel

Orthogonal frequency division multiplexing (OFDM) has been widely adopted in underwater acoustic (UWA) communication due to its good anti-multipath performance and high spectral efficiency. For UWA-OFDM systems, channel state information (CSI) is essential for channel equalization and adaptive transmission, which can significantly affect the reliability and throughput. However, the time-varying UWA channel is difficult to estimate because of excessive delay spread and complex noise distribution. To this end, a novel Bayesian learning-based channel estimation architecture is proposed for UWA-OFDM systems. A clustered-sparse channel distribution model and a noise-resistant channel measurement model are constructed, and the model hyperparameters are iteratively optimized to obtain accurate Bayesian channel estimation. Accordingly, to obtain the clustered-sparse distribution, a partition-based clustered-sparse Bayesian learning (PB-CSBL) algorithm was designed. In order to lessen the effect of strong colored noise, a noise-corrected clustered-sparse channel estimation (NC-CSCE) algorithm was proposed to improve the estimation accuracy. Numerical simulations and lake trials are conducted to verify the effectiveness of the algorithms. Results show that the proposed algorithms achieve higher channel estimation accuracy and lower bit error rate (BER).

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

Prediction based sparse channel estimation for underwater acoustic OFDM

2015 ◽  
Vol 96 ◽  
pp. 94-100 ◽  
Author(s):  
Na Lin ◽  
Haixin Sun ◽  
En Cheng ◽  
Jie Qi ◽  
Xiaoyan Kuai ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Underwater Acoustic ◽  
Sparse Channel Estimation ◽  
Sparse Channel

Time–Frequency Joint Sparse Channel Estimation for MIMO-OFDM Systems

2015 ◽  
Vol 19 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Wenbo Ding ◽  
Fang Yang ◽  
Wei Dai ◽  
Jian Song
Keyword(s):  
Channel Estimation ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Sparse Channel
Sign in / Sign up

Export Citation Format

Share Document