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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sungtae Kim Goohyun Park Takki Yu Hyunkyu Yu Jaegu Lee Daesik Hong |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul (Sungtae Kim) |
| Abstract | Signal-to-noise ratio (SNR) measurement is required in many channel-adaptive techniques and radio resource management methods for mobile radio communication systems. In this paper, the factors that degrade the MSE performance of the conventional frequency domain SNR estimator in high SNR region are analyzed. Based on this analysis, we propose two improved frequency domain SNR estimators which employ windowing and discrete cosine transform (DCT) to suppress the leakage of the received fading signal's frequency spectrum. The simulation results show that the proposed methods remarkably improve the MSE performance for high SNR region (ges15 dB) in mobile fading channels |
| Starting Page | 1898 |
| Ending Page | 1902 |
| File Size | 4696253 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780393910 |
| ISSN | 15502252 |
| DOI | 10.1109/VETECS.2006.1683177 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-07 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency domain analysis Frequency estimation Discrete cosine transforms Fading Signal to noise ratio Resource management Land mobile radio Degradation Performance analysis Signal analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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