Holistic Systems Engineering: Cognitive Hierarchy, Rf Receiver Technology, and Environment

Jones, Keith; Jenkins, L.C.; Ramsey, J.

doi:10.1109/dasc.2006.313732

Cited by 2 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, Again for simplicity, S A (f) is selected as in (6). Thus, 0 B ( ) S f is derived by solving (9a) and (9b) simultaneously:…”

Section: Image Rejection Filter Designmentioning

confidence: 99%

“…Building flexible frontends in classic ways is challenging because of the narrow bandwidth of intermediate frequency (IF) filters and the frequency range of synthesizers [5], [6]. Building flexible frontends in classic ways is challenging because of the narrow bandwidth of intermediate frequency (IF) filters and the frequency range of synthesizers [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…In radio receivers, complete implementation of the CR/SDR concept is mainly limited by the frontend. Building flexible frontends in classic ways is challenging because of the narrow bandwidth of intermediate frequency (IF) filters and the frequency range of synthesizers [5], [6]. The key to CR/SDR is the placement and design technique of the ADC in the channel processing stream, and the goal is to put the ADC as close as possible to the antenna [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

RF Band-Pass Sampling Frontend for Multiband Access CR/SDR Receiver

Kim¹

2010

ETRI J

View full text Add to dashboard Cite

Radio frequency (RF) subsampling can be used by radio receivers to directly down‐convert and digitize RF signals. A goal of a cognitive radio/software defined ratio (CR/SDR) receiver design is to place the analog‐to‐digital converter (ADC) as near the antenna as possible. Based on this, a band‐pass sampling (BPS) frontend for CR/SDR is proposed and verified. We present a receiver architecture based second‐order BPS and signal processing techniques for a digital RF frontend. This paper is focused on the benefits of the second‐order BPS architecture in spectrum sensing over a wide frequency band range and in multiband receiving without modification of the RF hardware. Methods to manipulate the spectra are described, and reconstruction filter designs are provided. On the basis of this concept, second‐order BPS frontends for CR/SDR systems are designed and verified using a hardware platform.

show abstract

“…, Again for simplicity, S A (f) is selected as in (6). Thus, 0 B ( ) S f is derived by solving (9a) and (9b) simultaneously:…”

Section: Image Rejection Filter Designmentioning

confidence: 99%