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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongding Lei Chin, F. |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. for Infocomm Res., Singapore (Zhongding Lei; Chin, F.) |
| Abstract | In this paper, we consider the detection of OFDM signals used for cognitive radios. Based on the special feature - cyclic prefix embedded in OFDM signals, we propose an optimal Neyman-Pearson likelihood test for the signal detection. We have derived rigorously the probability distribution function of the corresponding decision statistics under frequency selective fading channels and obtained the closed forms of the probability of signal detection and the false alarm rate. The optimal threshold is also derived with respect to a given false alarm rate. Finally, simulations have been conducted to illustrate the promising performance of the proposed detection for OFDM signals under multipath fading environments. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1888680 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424426430 |
| DOI | 10.1109/PIMRC.2008.4699404 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-15 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | OFDM Cognitive radio Signal detection Fading Detectors Additive white noise AWGN Testing Probability distribution Statistical distributions Cognitive Radio |
| Content Type | Text |
| Resource Type | Article |
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