scholarly journals Channel Estimation in OFDM System over Fading Channels: A Compressive Sensing based Approach

2016 ◽  
Vol 9 (1) ◽  
pp. 1-8
Author(s):  
Ashish Jha
Keyword(s):  
Channel Estimation ◽  
Compressive Sensing ◽  
Fading Channels ◽  
Ofdm System

scholarly journals Compressive Sensing Based High-Resolution Channel Estimation for OFDM System

2012 ◽  
Vol 6 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Jia Meng ◽  
Wotao Yin ◽  
Yingying Li ◽  
Nam Tuan Nguyen ◽  
Zhu Han
Keyword(s):  
High Resolution ◽  
Channel Estimation ◽  
Compressive Sensing ◽  
Ofdm System

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 Channel Estimation in OFDM System using Compressive Sensing Framework: A Review

Helix ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 53-57
Author(s):  
Prachi Rane ◽  
Smita Daware
Keyword(s):  
Channel Estimation ◽  
Compressive Sensing ◽  
Ofdm System

An Improved DFT-Based Channel Estimation Algorithm for OFDM System on Time-Varying Multipath Fading Channels

2014 ◽  
Vol 989-994 ◽  
pp. 3786-3789 ◽  
Author(s):  
Xin Li Ma ◽  
Tong Liang Fan ◽  
Yong Feng Du
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Estimation Algorithm ◽  
Multipath Fading ◽  
Statistical Information ◽  
Time Varying ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Multipath Fading Channels ◽  
Suppress Noise

An improved discrete Fourier transform DFT-based channel estimation for OFDM systems is proposed. Conventional DFT-based channel estimator improved its performance by suppressing noise, but it does not completely suppress noise. In order to overcome the disadvantage, this paper proposed a gate method without requiring any channel statistical information. This method comprehensively considersthe effects of the power of the strongest path and the noises. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate.

scholarly journals Investigations on wavelet and Fourier transform based channel estimation in MIMO-OFDM system

2018 ◽  
Vol 7 (2.21) ◽  
pp. 228
Author(s):  
B Somasekhar ◽  
Ch Mohana Krishna ◽  
Y Murty
Keyword(s):  
Fourier Transform ◽  
Channel Estimation ◽  
Discrete Fourier Transform ◽  
Fading Channels ◽  
Multipath Fading ◽  
Estimation Methods ◽  
Ofdm System ◽  
Channel Estimator ◽  
Narrow Side ◽  
Mimo Ofdm

In this paper channel estimation methods for MIMO-OFDM system are investigated based on Fourier Transform and Wavelet Transform. The channel estimation algorithm based on Discrete Fourier Transform (DFT) cause energy leakage in multipath channel with non-sample-spaced time delays. Discrete Cosine Transform (DCT) based channel estimator can mitigate the drawback of Discrete Fourier Transform based channel estimator, when the non-sample spaced path delays are available in multipath fading channels. Wavelet based systems provide better spectral efficiency because of no cyclic prefix requirement, with narrow side lobes and also exhibit improved BER performance. Simulation results reveal that the DWT based transform outperforms the conventional DFT and DCT based channel estimator in terms of bit error rate and mean square error.  

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