Software defined radio (SDR) technology has been widely applied for its powerful universality and flexibility in the past decade. To address the issue of bandpass sampling of multiband signals, a novel and efficient method of finding the minimum valid sampling frequency is proposed. Since there are frequency deviations due to the channel effect and hardware instability in actual systems, we also consider the guard-bands between downconverted signal spectra in determining the minimum sampling frequency. In addition, the case that the spectra within the sampled bandwidth are located in inverse placement can be avoided by our proposed method, which will reduce the complexity of the succeeding digital signal process significantly. Simulation results illustrate that the proper minimum sampling frequency can be determined rapidly and accurately.
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Chen CHI, Yu ZHANG, Zhixing YANG, "A New Robust Bandpass Sampling Scheme for Multiple RF Signals in SDR System" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 1, pp. 326-329, January 2009, doi: 10.1587/transcom.E92.B.326.
Abstract: Software defined radio (SDR) technology has been widely applied for its powerful universality and flexibility in the past decade. To address the issue of bandpass sampling of multiband signals, a novel and efficient method of finding the minimum valid sampling frequency is proposed. Since there are frequency deviations due to the channel effect and hardware instability in actual systems, we also consider the guard-bands between downconverted signal spectra in determining the minimum sampling frequency. In addition, the case that the spectra within the sampled bandwidth are located in inverse placement can be avoided by our proposed method, which will reduce the complexity of the succeeding digital signal process significantly. Simulation results illustrate that the proper minimum sampling frequency can be determined rapidly and accurately.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.326/_p
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@ARTICLE{e92-b_1_326,
author={Chen CHI, Yu ZHANG, Zhixing YANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A New Robust Bandpass Sampling Scheme for Multiple RF Signals in SDR System},
year={2009},
volume={E92-B},
number={1},
pages={326-329},
abstract={Software defined radio (SDR) technology has been widely applied for its powerful universality and flexibility in the past decade. To address the issue of bandpass sampling of multiband signals, a novel and efficient method of finding the minimum valid sampling frequency is proposed. Since there are frequency deviations due to the channel effect and hardware instability in actual systems, we also consider the guard-bands between downconverted signal spectra in determining the minimum sampling frequency. In addition, the case that the spectra within the sampled bandwidth are located in inverse placement can be avoided by our proposed method, which will reduce the complexity of the succeeding digital signal process significantly. Simulation results illustrate that the proper minimum sampling frequency can be determined rapidly and accurately.},
keywords={},
doi={10.1587/transcom.E92.B.326},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - A New Robust Bandpass Sampling Scheme for Multiple RF Signals in SDR System
T2 - IEICE TRANSACTIONS on Communications
SP - 326
EP - 329
AU - Chen CHI
AU - Yu ZHANG
AU - Zhixing YANG
PY - 2009
DO - 10.1587/transcom.E92.B.326
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2009
AB - Software defined radio (SDR) technology has been widely applied for its powerful universality and flexibility in the past decade. To address the issue of bandpass sampling of multiband signals, a novel and efficient method of finding the minimum valid sampling frequency is proposed. Since there are frequency deviations due to the channel effect and hardware instability in actual systems, we also consider the guard-bands between downconverted signal spectra in determining the minimum sampling frequency. In addition, the case that the spectra within the sampled bandwidth are located in inverse placement can be avoided by our proposed method, which will reduce the complexity of the succeeding digital signal process significantly. Simulation results illustrate that the proper minimum sampling frequency can be determined rapidly and accurately.
ER -