Performance comparison of adaptive decision feedback equalizer and blind decision feedback equalizer

Date

2004

Author

Şenol, Sinan

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The Decision Feedback Equalizer (DFE) is a known method of channel equalization which has performance superiority over linear equalizer. The best performance of DFE is obtained, commonly, with training period which is used for initial acquisiton of channel or recovering changes in the channel. The training period requires a training sequence which reduces the bit transmission rate or is not possible to send in most of the situations. So, it is desirable to skip the training period. The Unsupervised (Blind) DFE (UDFE) is such a DFE scheme which has no training period. The UDFE has two modes of operation. In one mode, the UDFE uses Constant Modulus Algorithm (CMA) to perform channel acquisition, blindly. The other mode is the same as classical decision-directed DFE. This thesis compares the performances of the classical trained DFE method and the UDFE. The performance comparison is done in some channel environments with the problem of timing error present in the received data bearing signal. The computer aided simulations are done for two stationary channels, a time-varying channel and a frequency selective Rayleigh fading channel to test the performance of the relevant equalizers. The test results are evaluted according to mean square error (MSE), bit-error rate (BER), residual intersymbol interference (RISI) performances and equalizer output diagrams. The test results show that the UDFE has an equal or, sometimes, better performance compared to the trained DFE methods. The two modes of UDFE enable it to solve the absence of training sequence.

Subject Keywords

Feedback control system., Equalizers (Electronics).

URI

http://etd.lib.metu.edu/upload/1023746/index.pdf
https://hdl.handle.net/11511/13958

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

S. Şenol, “Performance comparison of adaptive decision feedback equalizer and blind decision feedback equalizer,” M.S. - Master of Science, Middle East Technical University, 2004.