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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chunquan He Gaoming Huang Jun Gao Gaoqi Dou Wenwei Ying |
| Copyright Year | 2012 |
| Abstract | In this paper, we proposed a semi blind channel estimation and symbol detection approach based on superimposed training (ST) sequence. At the transmitter, a periodic training sequence is arithmetically added to the information sequence in a lower power. A complex Gaussian random Rayleigh frequency-selective channel is used for simulation. At the receiver, we exploit a two-step semi blind iteration approach. In the first step, only the first-order statistics of the received signal is used to initially estimate the channel. Then in the second step, a kernel weighted least squares superimposed training (KWLSST) iteration approach with a maximum-likelihood sequence estimation (MLSE) equalizer is used to iteratively estimate the single-input single-output (SISO) channel and detect the information symbols sequentially. Simulation results present the normalized channel mean squares error (NCMSE) and symbol error rate (SER) of both the KWLSST approach and the data-dependent superimposed training (DDST) approach in QPSK modulation with MLSE equalizer. The simulation results show that the KWLSST approach outperforms DDST approach, but at an expense of higher computational complexity. |
| Starting Page | 627 |
| Ending Page | 630 |
| File Size | 1019895 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467348737 |
| DOI | 10.1109/CIT.2012.133 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training maximum-likelihood sequence estimation equalizer Maximum likelihood estimation Equalizers Channel estimation iteration kernel weighted least squares data-dependent superimposed training Kernel Signal to noise ratio superimposed training |
| Content Type | Text |
| Resource Type | Article |
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