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MLP/BP-based DFEs for Distorted QPSK Signal Recovery in Severe ISI Channels
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hsu, Terng-Ren Chiang, Shih-Yuan Chao, Kuan-Chieh |
| Copyright Year | 2008 |
| Abstract | In this work, we base on multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct decision feedback equalizers (DFEs). The proposal is used to recover distorted quadrature phase-shift keying (QPSK) signal in severe intersymbol interference (ISI) channels. The better bit-error-rate (BER) and packet-error-rate (PER) performance as compared to least-mean-square (LMS) DFEs is achieved in the severe ISI channel. From the simulations, we note that the proposed scheme can recover distorted QPSK signals as well as suppress ISI and background additive white Gaussian noise (AWGN). As compared with the LMS DFE, the presented MLP/BP-based DFE under the severe ISI channel with AWGN can improve about 1.8dB at PER=10 and about 2dB at BER=10. For data communications, we focus on the PER performance, whereas the BER performance is the major concern for multi-media communications. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://people.chu.edu.tw/~ecemail/part/CHJSE/index20080603.files/pdf/91-96.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
