Abstract
This paper proposes a robust pilot-assisted channel estimation method for orthogonal frequency division multiplexing (OFDM) signals in Rayleigh fading. Our estimation method is based on nonlinear regression channel models. Unlike the linear minimum mean-squared error (LMMSE) channel estimate, the method proposed does not have to know or estimate channel statistics like the channel correlation matrix and the average signal-to-noise ratio (SNR) per bit. Numerical results indicate that the performance of the proposed channel estimator is very close to the theoretical bit error propagation lower bound that is obtained by a receiver with perfect channel response information.
| Original language | English |
|---|---|
| Pages (from-to) | 540-544 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Communications |
| Volume | 50 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2002 Apr 1 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Model-based channel estimation for OFDM signals in Rayleigh fading. / Chang, Ming Xian; Su, Yu T.
In: IEEE Transactions on Communications, Vol. 50, No. 4, 01.04.2002, p. 540-544.Research output: Contribution to journal › Article
TY - JOUR
T1 - Model-based channel estimation for OFDM signals in Rayleigh fading
AU - Chang, Ming Xian
AU - Su, Yu T.
PY - 2002/4/1
Y1 - 2002/4/1
N2 - This paper proposes a robust pilot-assisted channel estimation method for orthogonal frequency division multiplexing (OFDM) signals in Rayleigh fading. Our estimation method is based on nonlinear regression channel models. Unlike the linear minimum mean-squared error (LMMSE) channel estimate, the method proposed does not have to know or estimate channel statistics like the channel correlation matrix and the average signal-to-noise ratio (SNR) per bit. Numerical results indicate that the performance of the proposed channel estimator is very close to the theoretical bit error propagation lower bound that is obtained by a receiver with perfect channel response information.
AB - This paper proposes a robust pilot-assisted channel estimation method for orthogonal frequency division multiplexing (OFDM) signals in Rayleigh fading. Our estimation method is based on nonlinear regression channel models. Unlike the linear minimum mean-squared error (LMMSE) channel estimate, the method proposed does not have to know or estimate channel statistics like the channel correlation matrix and the average signal-to-noise ratio (SNR) per bit. Numerical results indicate that the performance of the proposed channel estimator is very close to the theoretical bit error propagation lower bound that is obtained by a receiver with perfect channel response information.
UR - http://www.scopus.com/inward/record.url?scp=0036529605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036529605&partnerID=8YFLogxK
U2 - 10.1109/26.996066
DO - 10.1109/26.996066
M3 - Article
AN - SCOPUS:0036529605
VL - 50
SP - 540
EP - 544
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0096-1965
IS - 4
ER -