A joint channel estimation and detection algorithm for OFDM systems with short Cyclic Prefix

2007 ◽  
Author(s):  
Binfeng Bai ◽  
Mingyue Wang ◽  
Yueming Cai
Keyword(s):  
Channel Estimation ◽  
Detection Algorithm ◽  
Cyclic Prefix ◽  
Ofdm Systems ◽  
Joint Channel

Joint Channel Estimation and Signal Detection for the OFDM System Without Cyclic Prefix Over Doubly-Selective Channels

2015 ◽  
Vol 25 (14) ◽  
pp. 1540028
Author(s):  
Lijun Song ◽  
Xia Lei ◽  
Maozhu Jin ◽  
Zhihan Lv
Keyword(s):  
Channel Estimation ◽  
Signal Detection ◽  
Fading Channels ◽  
Orthogonal Frequency Division Multiplexing ◽  
High Speed ◽  
Detection Algorithm ◽  
Cyclic Prefix ◽  
Fast Time ◽  
Ofdm System ◽  
Joint Channel

In the high-speed railway wireless communication, a joint channel estimation and signal detection algorithm is proposed for the orthogonal frequency division multiplexing (OFDM) system without cyclic prefix in the doubly-selective fading channels. Our proposed method first combines the basis expansion model (BEM) and the inter symbol interference (ISI) cancellation to overcome the situation that exists with the fast time-varying channel and the normalized maximum multipath channel exceeding the length of the cyclic prefix (CP). At first, the channel estimation and signal detection can be approximated without considering the ISI. Then, the channel parameters and signal detection are updated through ISI cancellation and circular convolution reconstruction from the frequency domain. The simulations show the algorithm can improve the performance of channel estimation and signal detection.

scholarly journals Joint Channel Estimation and Impulsive Noise Mitigation Method for OFDM Systems Using Sparse Bayesian Learning

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 74500-74510
Author(s):  
Xinrong Lv ◽  
Youming Li ◽  
Yongqing Wu ◽  
Xiaoli Wang ◽  
Hui Liang
Keyword(s):  
Channel Estimation ◽  
Bayesian Learning ◽  
Impulsive Noise ◽  
Sparse Bayesian Learning ◽  
Ofdm Systems ◽  
Noise Mitigation ◽  
Joint Channel
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