Quantization is an important operation in digital communications systems. It not only introduces quantization noise but also changes the statistical properties of the quantized signal. Furthermore, quantization noise cannot be always considered as an additive source of Gaussian noise as it depends on the input signal probability density function. In orthogonal-frequency-division-multiplexing transmission the signal undergoes different operations which change its statistical properties. In this paper we analyze the statistical transformations of the signal from the transmitter to the receiver and determine how these effect the quantization. The discussed process considers the transceiver parameters and the channel properties to model the quantization noise. Simulation results show that the model agrees well with the simulated transmissions. The effect of system and channel properties on the quantization noise and its effect on bit-error-rate are shown. This enables the design of a quantizer with an optimal resolution for the required performance metrics.
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Maduranga LIYANAGE, Iwao SASASE, "Statistical Analysis of Quantization Noise in an End-to-End OFDM Link" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 5, pp. 1376-1385, May 2011, doi: 10.1587/transcom.E94.B.1376.
Abstract: Quantization is an important operation in digital communications systems. It not only introduces quantization noise but also changes the statistical properties of the quantized signal. Furthermore, quantization noise cannot be always considered as an additive source of Gaussian noise as it depends on the input signal probability density function. In orthogonal-frequency-division-multiplexing transmission the signal undergoes different operations which change its statistical properties. In this paper we analyze the statistical transformations of the signal from the transmitter to the receiver and determine how these effect the quantization. The discussed process considers the transceiver parameters and the channel properties to model the quantization noise. Simulation results show that the model agrees well with the simulated transmissions. The effect of system and channel properties on the quantization noise and its effect on bit-error-rate are shown. This enables the design of a quantizer with an optimal resolution for the required performance metrics.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1376/_p
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@ARTICLE{e94-b_5_1376,
author={Maduranga LIYANAGE, Iwao SASASE, },
journal={IEICE TRANSACTIONS on Communications},
title={Statistical Analysis of Quantization Noise in an End-to-End OFDM Link},
year={2011},
volume={E94-B},
number={5},
pages={1376-1385},
abstract={Quantization is an important operation in digital communications systems. It not only introduces quantization noise but also changes the statistical properties of the quantized signal. Furthermore, quantization noise cannot be always considered as an additive source of Gaussian noise as it depends on the input signal probability density function. In orthogonal-frequency-division-multiplexing transmission the signal undergoes different operations which change its statistical properties. In this paper we analyze the statistical transformations of the signal from the transmitter to the receiver and determine how these effect the quantization. The discussed process considers the transceiver parameters and the channel properties to model the quantization noise. Simulation results show that the model agrees well with the simulated transmissions. The effect of system and channel properties on the quantization noise and its effect on bit-error-rate are shown. This enables the design of a quantizer with an optimal resolution for the required performance metrics.},
keywords={},
doi={10.1587/transcom.E94.B.1376},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Statistical Analysis of Quantization Noise in an End-to-End OFDM Link
T2 - IEICE TRANSACTIONS on Communications
SP - 1376
EP - 1385
AU - Maduranga LIYANAGE
AU - Iwao SASASE
PY - 2011
DO - 10.1587/transcom.E94.B.1376
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2011
AB - Quantization is an important operation in digital communications systems. It not only introduces quantization noise but also changes the statistical properties of the quantized signal. Furthermore, quantization noise cannot be always considered as an additive source of Gaussian noise as it depends on the input signal probability density function. In orthogonal-frequency-division-multiplexing transmission the signal undergoes different operations which change its statistical properties. In this paper we analyze the statistical transformations of the signal from the transmitter to the receiver and determine how these effect the quantization. The discussed process considers the transceiver parameters and the channel properties to model the quantization noise. Simulation results show that the model agrees well with the simulated transmissions. The effect of system and channel properties on the quantization noise and its effect on bit-error-rate are shown. This enables the design of a quantizer with an optimal resolution for the required performance metrics.
ER -