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
SDR(소프트웨어 정의 라디오) 기술은 강력한 보편성과 유연성으로 인해 지난 XNUMX년 동안 널리 적용되었습니다. 다중대역 신호의 대역통과 샘플링 문제를 해결하기 위해 최소 유효 샘플링 주파수를 찾는 새롭고 효율적인 방법이 제안되었습니다. 실제 시스템에서는 채널 효과와 하드웨어 불안정성으로 인해 주파수 편차가 있기 때문에 최소 샘플링 주파수를 결정할 때 하향 변환된 신호 스펙트럼 간의 보호 대역도 고려합니다. 또한, 제안한 방법을 사용하면 샘플링된 대역폭 내의 스펙트럼이 역배치되는 경우를 피할 수 있으며, 이는 후속 디지털 신호 프로세스의 복잡성을 크게 줄일 수 있습니다. 시뮬레이션 결과는 적절한 최소 샘플링 주파수를 빠르고 정확하게 결정할 수 있음을 보여줍니다.
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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
부
@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},}
부
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 -