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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nooralizadeh, H. Moghaddam, S.S. |
| Copyright Year | 2010 |
| Description | Author affiliation: DCSP Research Lab., Department of Electrical and Computer Engineering, Shahid Rajaee Teacher Training, University (SRTTU), Tehran, Iran (Moghaddam, S.S.) || Faculty of Electrical Engineering Department Islamshahr Branch, Islamic Azad University, Islamshahr, Tehran, Iran (Nooralizadeh, H.) |
| Abstract | Recently, to estimate the Rician flat fading Multiple-Input Multiple-Output (MIMO) channels, we have proposed the Shifted Scaled Least Squares (SSLS) channel estimator. In this paper, it is analytically shown that the performance of this estimator is less sensitive to the erroneous estimation of the Rice factor. Moreover, to estimate the channel Rice factor in the above mentioned channel model, two algorithms are proposed. These algorithms work based on the optimal training signal and Least Squares (LS) technique. The estimated Rice factor is used in the SSLS estimator. The performance of these algorithms is numerically compared in the Rician fading channel estimation. Simulation results confirm the efficiency of these algorithms. |
| Starting Page | 1441 |
| Ending Page | 1444 |
| File Size | 131479 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5656950 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Channel estimation Estimation Fading Rician channels Training Signal to noise ratio Optimal training signal Rice factor estimation MIMO SSLS Rician flat fading LS |
| Content Type | Text |
| Resource Type | Article |
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