Abstract
The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long impulse responses. Besides resulting in a large computational complexity, this will in general cause slow convergence for LMS-type adaptive algorithms. In this paper, we address the equalization problem by a subband approach to reduce computational complexity and to improve convergence speed. We discuss, why amongst other possibilities of subband processing the oversampled approach is particularly appealing to significantly reduce computational complexity and improve convergence speed. Simulation results for a typical communication channels are presented and highlight the benefit of our method.
Original language | English |
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Pages | 4/1-4/7 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 1999 |
Event | IEE Colloquium on Novel DSP Applications in Radio Systems - London, United Kingdom Duration: 28 Sept 1999 → 28 Sept 1999 |
Conference
Conference | IEE Colloquium on Novel DSP Applications in Radio Systems |
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Country/Territory | United Kingdom |
City | London |
Period | 28/09/99 → 28/09/99 |
Keywords
- adaptive equalisers
- adaptive filters
- computational complexity
- convergence
- telecommunication channels
- subband
- adaptive equalization structure