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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Cai Xuemin Shen Mark, J.W. |
| Copyright Year | 2002 |
| Abstract | In this paper, the joint time-frequency domain channel estimation problem in orthogonal frequency-division multiplexing (OFDM) wireless communication systems is transformed to a set of independent time-domain estimation problems. A robust channel estimation algorithm based on the H/sub /spl infin// filtering approach is proposed to estimate the channel fading in the time domain. The estimation criterion is to minimize the worst possible amplification of the estimation errors in terms of the exogenous input disturbances such as multiplicative and additive noise. The criterion is different from the traditional minimum estimation error variance criterion for the Kalman estimation algorithm, and requires no a priori knowledge of the disturbance statistics. It is shown that the proposed channel estimation algorithm is more robust compared with the Kalman estimation counterpart in terms of model uncertainty, and is more suitable to practical OFDM wireless communication systems. |
| Starting Page | 2060 |
| Ending Page | 2071 |
| Page Count | 12 |
| File Size | 583716 |
| File Format | |
| ISSN | 15361276 |
| Volume Number | 3 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Channel estimation OFDM Wireless communication Estimation error Kalman filters Time frequency analysis Frequency division multiplexing Time domain analysis Frequency estimation wireless communications orthogonal frequency-division multiplexing (OFDM) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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