Abstract
The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.
| Original language | English |
|---|---|
| Article number | 4786478 |
| Pages (from-to) | 45-50 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2009 Jan 1 |
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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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Low bias frequency domain SNR estimator using DCT in mobile fading channels. / Kim, Sungtae; Yu, Hyunkyu; Lee, Jemin; Hong, Daesik.
In: IEEE Transactions on Wireless Communications, Vol. 8, No. 1, 4786478, 01.01.2009, p. 45-50.Research output: Contribution to journal › Article
TY - JOUR
T1 - Low bias frequency domain SNR estimator using DCT in mobile fading channels
AU - Kim, Sungtae
AU - Yu, Hyunkyu
AU - Lee, Jemin
AU - Hong, Daesik
PY - 2009/1/1
Y1 - 2009/1/1
N2 - The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.
AB - The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.
UR - http://www.scopus.com/inward/record.url?scp=61349097344&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=61349097344&partnerID=8YFLogxK
U2 - 10.1109/T-WC.2009.071386
DO - 10.1109/T-WC.2009.071386
M3 - Article
VL - 8
SP - 45
EP - 50
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 1
M1 - 4786478
ER -