| Paper: | SPCOM-P12.3 | ||
| Session: | Detection, Estimation, and Demodulation | ||
| Time: | Friday, May 21, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Interference Suppression and Rejection | ||
| Title: | FAST TECHNIQUES FOR COMPUTING FINITE-LENGTH MMSE DECISION FEEDBACK EQUALIZERS | ||
| Authors: | Nabil Yousef; Broadcom Corporation | ||
| Ricardo Merched; Rio de Janeiro Federal University | |||
| Abstract: | The existing computationally efficient methods for computing thefinite length minimum mean-square-error decision feedback equalizers (MMSE-DFE) rely on fast methods for Cholesky decomposition, which may face several implementation difficulties. As the demand for broadband communications increases, developing less complex methods is highly motivated. In this paper, we propose new techniques for computing the (MMSE-DFE) coefficients. The new algorithms are obtained by identifying the relationship between the feedforward equalizer computation and well known fast recursive least squares (RLS) adaptive algorithms, and the feedback equalizer as a convolution of the feedforward equalizer with the channel. The proposed algorithms are less complex, more structured,and more stable in finite precision than known methods encountered in the literature. | ||
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