The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pengaruh penskalaan kuantisasi jarang dipertimbangkan dalam komunikasi jalur sempit (NB), kerana penukar analog-ke-digital (ADC) resolusi tinggi boleh digunakan secara umum. Walau bagaimanapun, dalam sistem jalur lebar ultra (UWB), resolusi ADC diperlukan untuk mengurangkan kerumitan, kos dan penggunaan kuasa. Akibatnya, pengaruh penskalaan kuantisasi adalah penting dan harus diambil kira. Dalam surat ini, kesan penskalaan kuantisasi dianalisis dari segi kehilangan nisbah isyarat kepada hingar (SNR) berdasarkan model isyarat rawak teragih seragam. Untuk kesan penskalaan pengkuantitian pada prestasi kadar ralat bit (BER), bagaimanapun, analisis teori adalah terlalu rumit kerana pengkuantitian ialah operasi tak linear, oleh itu kami menggunakan kaedah simulasi di sini. Keputusan simulasi menunjukkan wujud penskalaan optimum untuk meminimumkan prestasi BER bagi penerima resolusi tetap; kuasa penskalaan optimum adalah berkaitan dengan SNR isyarat bising input dan resolusi ADC.
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Salinan
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
Salinan
@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},}
Salinan
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 -