Abstract
Bandpass sampling (BPS) techniques for the direct down-conversion of RF bandpass signals have become an essential technique for software defined radio (SDR), due to their advantage of minimizing the radio frequency (RF) front-end hardware dependency. This paper proposes an algorithm for finding the minimum BPS frequency for simultaneously down-converting multiple RF signals through full permutation over all the valid sampling ranges found for the multiple RF signals. We also present a scheme for reducing the computational complexity resulting from the large scale of the purmutation calculation involved in searching for the minimum BPS frequency. In addition, we investigate the BPS frequency allowing for the guard-band between adajacent down-converted signals, which help lessen the severe requirements in practical implementations. The performance of the proposed method is compared with those of other pre-reported methods to prove its effectiveness.
| Original language | English |
|---|---|
| Pages (from-to) | 55-62 |
| Number of pages | 8 |
| Journal | Journal of Communications and Networks |
| Volume | 10 |
| Issue number | 1 |
| Publication status | Published - 2008 Mar 1 |
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Keywords
- Bandpass sampling (BPS)
- Software-defined radio (SDR)
- Sub-sampling
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
Cite this
A searching algorithm for minimum bandpass sampling frequency in simultaneous down-conversion of multiple RF signals. / Bae, Junghwa; Park, Jinwoo.
In: Journal of Communications and Networks, Vol. 10, No. 1, 01.03.2008, p. 55-62.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A searching algorithm for minimum bandpass sampling frequency in simultaneous down-conversion of multiple RF signals
AU - Bae, Junghwa
AU - Park, Jinwoo
PY - 2008/3/1
Y1 - 2008/3/1
N2 - Bandpass sampling (BPS) techniques for the direct down-conversion of RF bandpass signals have become an essential technique for software defined radio (SDR), due to their advantage of minimizing the radio frequency (RF) front-end hardware dependency. This paper proposes an algorithm for finding the minimum BPS frequency for simultaneously down-converting multiple RF signals through full permutation over all the valid sampling ranges found for the multiple RF signals. We also present a scheme for reducing the computational complexity resulting from the large scale of the purmutation calculation involved in searching for the minimum BPS frequency. In addition, we investigate the BPS frequency allowing for the guard-band between adajacent down-converted signals, which help lessen the severe requirements in practical implementations. The performance of the proposed method is compared with those of other pre-reported methods to prove its effectiveness.
AB - Bandpass sampling (BPS) techniques for the direct down-conversion of RF bandpass signals have become an essential technique for software defined radio (SDR), due to their advantage of minimizing the radio frequency (RF) front-end hardware dependency. This paper proposes an algorithm for finding the minimum BPS frequency for simultaneously down-converting multiple RF signals through full permutation over all the valid sampling ranges found for the multiple RF signals. We also present a scheme for reducing the computational complexity resulting from the large scale of the purmutation calculation involved in searching for the minimum BPS frequency. In addition, we investigate the BPS frequency allowing for the guard-band between adajacent down-converted signals, which help lessen the severe requirements in practical implementations. The performance of the proposed method is compared with those of other pre-reported methods to prove its effectiveness.
KW - Bandpass sampling (BPS)
KW - Software-defined radio (SDR)
KW - Sub-sampling
UR - http://www.scopus.com/inward/record.url?scp=42149110809&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=42149110809&partnerID=8YFLogxK
M3 - Article
VL - 10
SP - 55
EP - 62
JO - Journal of Communications and Networks
JF - Journal of Communications and Networks
SN - 1229-2370
IS - 1
ER -