Name
Abstract | ||
|---|---|---|
This paper addresses the problem of sparse channel estimation in the context of Orthogonal Frequency Division Multiplexing (OFDM) systems. We propose to extend a recently proposed tap-tuned threshold-based Channel Impulse Response (CIR) structure detection scheme to the case of fast varying channels, through the use of a uniform pilot subcarriers placement. The chosen thresholds minimize the estimation Mean Squares Error (MSE) per tap. We also incorporate a local measure of the sparsity level which relies on the coarse Least Squares (LS) CIR estimate coefficients energies. The structured Channel Frequency Response (CFR) estimate is then exploited to demodulate the data subcarriers. Simulation results demonstrate the good denoising capacity of the proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/VTCSpring.2013.6692787 | Vehicular Technology Conference |
Keywords | Field | DocType |
OFDM modulation,channel capacity,channel estimation,demodulation,frequency response,least mean squares methods,minimisation,signal denoising,signal detection,time-varying channels,CFR estimation,OFDM systems,channel denoising capacity,channel frequency response,channel impulse response,coefficients energy estimation,data subcarrier demodulation,fast varying channel,least MSE optimization,mean squares error,orthogonal frequency division multiplexing,sparsity level measure,tap tuned threshold-based CIR structure detection scheme,thresholds minimization,time varying sparse channel estimation,uniform pilot subcarriers placement | Noise reduction,Least squares,Demodulation,Frequency response,Detection theory,Computer science,Communication channel,Electronic engineering,Channel capacity,Orthogonal frequency-division multiplexing | Conference |
ISSN | Citations | PageRank |
1550-2252 | 1 | 0.35 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zakia Jellali | 1 | 1 | 0.35 |
| Leïla Najjar Atallah | 2 | 24 | 5.55 |