An efficient algorithm for bandpass sampling of multiple RF signals

Junghwa Bae; Jinwoo Park

doi:10.1109/LSP.2005.863694

An efficient algorithm for bandpass sampling of multiple RF signals

Junghwa Bae, Jinwoo Park

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

This letter proposes, based on a bandpass sampling theory, a novel method to find available sampling ranges with a low computational complexity and high accuracy for multiple bandpass radio frequency signals. Guard-bands between downconverted signal spectrums are also taken into consideration in determining a minimum sampling frequency. We verify its validity through simulations in terms of the sampling ranges, the minimum sampling frequency, and computational efficiency.

Original language	English
Pages (from-to)	193-196
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/LSP.2005.863694
Publication status	Published - 2006 Apr

Keywords

Bandpass sampling
Software-defined ratio (SRD)
Sub-sampling

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2005.863694

Cite this

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title = "An efficient algorithm for bandpass sampling of multiple RF signals",

abstract = "This letter proposes, based on a bandpass sampling theory, a novel method to find available sampling ranges with a low computational complexity and high accuracy for multiple bandpass radio frequency signals. Guard-bands between downconverted signal spectrums are also taken into consideration in determining a minimum sampling frequency. We verify its validity through simulations in terms of the sampling ranges, the minimum sampling frequency, and computational efficiency.",

keywords = "Bandpass sampling, Software-defined ratio (SRD), Sub-sampling",

author = "Junghwa Bae and Jinwoo Park",

note = "Funding Information: Manuscript received July 10, 2005; revised October 28, 2005. This work was supported by the University IT Research Center Project at Korea University. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Gerald Matz.",

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N2 - This letter proposes, based on a bandpass sampling theory, a novel method to find available sampling ranges with a low computational complexity and high accuracy for multiple bandpass radio frequency signals. Guard-bands between downconverted signal spectrums are also taken into consideration in determining a minimum sampling frequency. We verify its validity through simulations in terms of the sampling ranges, the minimum sampling frequency, and computational efficiency.

AB - This letter proposes, based on a bandpass sampling theory, a novel method to find available sampling ranges with a low computational complexity and high accuracy for multiple bandpass radio frequency signals. Guard-bands between downconverted signal spectrums are also taken into consideration in determining a minimum sampling frequency. We verify its validity through simulations in terms of the sampling ranges, the minimum sampling frequency, and computational efficiency.

KW - Bandpass sampling

KW - Software-defined ratio (SRD)

KW - Sub-sampling

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An efficient algorithm for bandpass sampling of multiple RF signals

Abstract

Keywords

ASJC Scopus subject areas

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