IEICE TRANSACTIONS on Communications
Optimum Quantization Scaling for Noisy Signals in UWB Scenarios
Summary :
The influence of quantization scaling is seldom considered in narrow band (NB) communications, because a high resolution analogue-to-digital converter (ADC) can be generally employed. In ultra-wideband (UWB) systems, however, the resolution of ADC is required to be low to reduce complexity, cost and power consumption. Consequently, the influence of quantization scaling is significant and should be taken into account. In this letter, effects of quantization scaling are analyzed in terms of signal to noise ratio (SNR) loss based on an uniformly distributed random signal model. For the effects of quantization scaling on bit error rate (BER) performance, however, theoretical analysis is too complicated since quantization is a nonlinear operation, hence we employ here a simulation method. The simulation results show there exists an optimum scaling to minimize BER performance for a fixed-resolution receiver; the optimum scaling power is related to the SNR of input noisy signal and the resolution of ADC.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.4 pp.1094-1097
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.1094
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Zhenyu XIAO, Li SU, Depeng JIN, Lieguang ZENG, "Optimum Quantization Scaling for Noisy Signals in UWB Scenarios" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 4, pp. 1094-1097, April 2011, doi: 10.1587/transcom.E94.B.1094.
Abstract: The influence of quantization scaling is seldom considered in narrow band (NB) communications, because a high resolution analogue-to-digital converter (ADC) can be generally employed. In ultra-wideband (UWB) systems, however, the resolution of ADC is required to be low to reduce complexity, cost and power consumption. Consequently, the influence of quantization scaling is significant and should be taken into account. In this letter, effects of quantization scaling are analyzed in terms of signal to noise ratio (SNR) loss based on an uniformly distributed random signal model. For the effects of quantization scaling on bit error rate (BER) performance, however, theoretical analysis is too complicated since quantization is a nonlinear operation, hence we employ here a simulation method. The simulation results show there exists an optimum scaling to minimize BER performance for a fixed-resolution receiver; the optimum scaling power is related to the SNR of input noisy signal and the resolution of ADC.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1094/_p
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@ARTICLE{e94-b_4_1094,
author={Zhenyu XIAO, Li SU, Depeng JIN, Lieguang ZENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimum Quantization Scaling for Noisy Signals in UWB Scenarios},
year={2011},
volume={E94-B},
number={4},
pages={1094-1097},
abstract={The influence of quantization scaling is seldom considered in narrow band (NB) communications, because a high resolution analogue-to-digital converter (ADC) can be generally employed. In ultra-wideband (UWB) systems, however, the resolution of ADC is required to be low to reduce complexity, cost and power consumption. Consequently, the influence of quantization scaling is significant and should be taken into account. In this letter, effects of quantization scaling are analyzed in terms of signal to noise ratio (SNR) loss based on an uniformly distributed random signal model. For the effects of quantization scaling on bit error rate (BER) performance, however, theoretical analysis is too complicated since quantization is a nonlinear operation, hence we employ here a simulation method. The simulation results show there exists an optimum scaling to minimize BER performance for a fixed-resolution receiver; the optimum scaling power is related to the SNR of input noisy signal and the resolution of ADC.},
keywords={},
doi={10.1587/transcom.E94.B.1094},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Optimum Quantization Scaling for Noisy Signals in UWB Scenarios
T2 - IEICE TRANSACTIONS on Communications
SP - 1094
EP - 1097
AU - Zhenyu XIAO
AU - Li SU
AU - Depeng JIN
AU - Lieguang ZENG
PY - 2011
DO - 10.1587/transcom.E94.B.1094
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2011
AB - The influence of quantization scaling is seldom considered in narrow band (NB) communications, because a high resolution analogue-to-digital converter (ADC) can be generally employed. In ultra-wideband (UWB) systems, however, the resolution of ADC is required to be low to reduce complexity, cost and power consumption. Consequently, the influence of quantization scaling is significant and should be taken into account. In this letter, effects of quantization scaling are analyzed in terms of signal to noise ratio (SNR) loss based on an uniformly distributed random signal model. For the effects of quantization scaling on bit error rate (BER) performance, however, theoretical analysis is too complicated since quantization is a nonlinear operation, hence we employ here a simulation method. The simulation results show there exists an optimum scaling to minimize BER performance for a fixed-resolution receiver; the optimum scaling power is related to the SNR of input noisy signal and the resolution of ADC.
ER -
English
