Abstract
In this paper, we present a channel estimation method for Orthogonal Frequency Division Multiplexing (OFDM) signals. Our method is based on a two-dimensional nonlinear regression method, taking into account the correlations of the fading process in both time and frequency domains. We derive a general bit error rate (BER) expression which can also used to predict the performance of many other OFDM channel estimates. The performance of this new estimate is very close to the theoretical bit error probability lower bound that is obtained by assuming that the channel response is perfectly known. Unlike linear minimum mean-squared-error (LMMSE) channel estimates, it needs not to know or estimate channel statistics like channel correlation matrix and SNR hence is insensitive to additive white Gaussian noise (AWGN).
| Original language | English |
|---|---|
| Pages (from-to) | 240-244 |
| Number of pages | 5 |
| Journal | IEEE Vehicular Technology Conference |
| Volume | 1 |
| Publication status | Published - 2000 Jan 1 |
| Event | VTC2000: 51st Vehicular Technology Conference 'Shaping History Through Mobile Technologies' - Tokyo, Jpn Duration: 2000 May 15 → 2000 May 18 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
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2D regression channel estimation for equalizing OFDM signals. / Chang, Ming-Xian; Su, Yu T.
In: IEEE Vehicular Technology Conference, Vol. 1, 01.01.2000, p. 240-244.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - 2D regression channel estimation for equalizing OFDM signals
AU - Chang, Ming-Xian
AU - Su, Yu T.
PY - 2000/1/1
Y1 - 2000/1/1
N2 - In this paper, we present a channel estimation method for Orthogonal Frequency Division Multiplexing (OFDM) signals. Our method is based on a two-dimensional nonlinear regression method, taking into account the correlations of the fading process in both time and frequency domains. We derive a general bit error rate (BER) expression which can also used to predict the performance of many other OFDM channel estimates. The performance of this new estimate is very close to the theoretical bit error probability lower bound that is obtained by assuming that the channel response is perfectly known. Unlike linear minimum mean-squared-error (LMMSE) channel estimates, it needs not to know or estimate channel statistics like channel correlation matrix and SNR hence is insensitive to additive white Gaussian noise (AWGN).
AB - In this paper, we present a channel estimation method for Orthogonal Frequency Division Multiplexing (OFDM) signals. Our method is based on a two-dimensional nonlinear regression method, taking into account the correlations of the fading process in both time and frequency domains. We derive a general bit error rate (BER) expression which can also used to predict the performance of many other OFDM channel estimates. The performance of this new estimate is very close to the theoretical bit error probability lower bound that is obtained by assuming that the channel response is perfectly known. Unlike linear minimum mean-squared-error (LMMSE) channel estimates, it needs not to know or estimate channel statistics like channel correlation matrix and SNR hence is insensitive to additive white Gaussian noise (AWGN).
UR - http://www.scopus.com/inward/record.url?scp=0033719672&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033719672&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0033719672
VL - 1
SP - 240
EP - 244
JO - IEEE Vehicular Technology Conference
JF - IEEE Vehicular Technology Conference
SN - 0740-0551
ER -