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A low-complexity PAR-reduction method for DMT-VDSL
- Börjesson, Per Ola (author)
-
- Feichtinger, Hans G (author)
- NUHAG (Numerical Harmonic Analysis Group), Dept. of Mathematics, University of Vienna
- Grip, Niklas (author)
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- Ödling, Per (author)
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- NUHAG (Numerical Harmonic Analysis Group), Dept of Mathematics, University of Vienna Telia Research AB (creator_code:org_t)
- 1999
- 1999
- English.
- In: Proceedings of the 5th International Symposium on Digital Signal Processing for Communication Systems. ; , s. 164-169
- Conference paper (peer-reviewed)
Abstract
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- DMT-VDSL signals have a high peak-to-average power ratio (PAR). In the transmitters, the PAR governs the necessary resolution of the digital-to-analog converter (DAC) and is an important factor for the power consumption of the line-driver. Aiming at implementation in a specific system, we propose a low complexity PAR-reduction method based on the iterative algorithm derived in [5, 20, 24, 25]. We maintain good performance while stressing a straigthforward and low-complex implementation. Key elements of the method are: low latency; no loss in data rate; precalculated and stored peak-cancellation waveform; and bit-shifts (multiplication with powers of two) replacing the scaling of the waveform. Computer simulations show that, for a DMT frame length of 4096 samples and a frame clip rate of 10-4, the PAR can be reduced about 1.5 to 2.0 dB, depending on the number of peaks cancelled. When multiplication is replaced by bit-shifts, the reduction is still 1.5-1.7 dB.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Matematik -- Matematisk analys (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Mathematical Analysis (hsv//eng)
Keyword
- Signalbehandling
- Signal Processing
- Mathematics
- Matematik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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