Single Channel RF Signal Recovery for Nyquist Folding Receiver

F. Uysal; J.C. Martin; N.A. Goodman

Single Channel RF Signal Recovery for Nyquist Folding Receiver

F. Uysal, J.C. Martin, N.A. Goodman

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

79 Downloads (Pure)

Abstract

This paper presents a method for exploiting wideband spectral information of real-valued radio frequency (RF) signals using the Nyquist Folding Receiver architecture. A new system model based on a symmetric modulation matrix is introduced so that the frequency band of the real input signals can be estimated without in-phase and quadrature reception and processing. To recover the original frequency of the input RF signal, we use the parameter-free sparse learning via iterative minimization (SLIM) method. Finally, the proposed model and the success of the recovery algorithm are demonstrated with data collected from an experimental testbed.

Original language	English
Title of host publication	IET International Conference on Radar Systems 2017
Place of Publication	London
Publisher	Institution of Engineering and Technology
Pages	1-4
Number of pages	4
Publication status	Published - 2017
Event	Radar 2017: IET International Conference on Radar Systems - Belfast Waterfront Conference Centre, Belfast, United Kingdom Duration: 23 Oct 2017 → 26 Oct 2017 http://events.theiet.org/radar/index.cfm

Publication series

Name	IET Conference Publications
Number	CP728
Volume	2017

Conference

Conference	Radar 2017: IET International Conference on Radar Systems
Country/Territory	United Kingdom
City	Belfast
Period	23/10/17 → 26/10/17
Internet address	http://events.theiet.org/radar/index.cfm

Bibliographical note

Accepted Author Manuscript

Keywords

Analog-to-information (A2I)
Compressed sensing (CS)
Nyquist folding receiver (NYFR)

Access to Document

IET-radar-2017_UysalAccepted author manuscript, 6.42 MBLicence: Unspecified

Cite this

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title = "Single Channel RF Signal Recovery for Nyquist Folding Receiver",

abstract = "This paper presents a method for exploiting wideband spectral information of real-valued radio frequency (RF) signals using the Nyquist Folding Receiver architecture. A new system model based on a symmetric modulation matrix is introduced so that the frequency band of the real input signals can be estimated without in-phase and quadrature reception and processing. To recover the original frequency of the input RF signal, we use the parameter-free sparse learning via iterative minimization (SLIM) method. Finally, the proposed model and the success of the recovery algorithm are demonstrated with data collected from an experimental testbed.",

keywords = "Analog-to-information (A2I), Compressed sensing (CS), Nyquist folding receiver (NYFR)",

author = "F. Uysal and J.C. Martin and N.A. Goodman",

note = "Accepted Author Manuscript; Radar 2017: IET International Conference on Radar Systems ; Conference date: 23-10-2017 Through 26-10-2017",

year = "2017",

language = "English",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

number = "CP728",

pages = "1--4",

booktitle = "IET International Conference on Radar Systems 2017",

address = "United Kingdom",

url = "http://events.theiet.org/radar/index.cfm",

}

Single Channel RF Signal Recovery for Nyquist Folding Receiver. / Uysal, F.; Martin, J.C.; Goodman, N.A.
IET International Conference on Radar Systems 2017. London: Institution of Engineering and Technology, 2017. p. 1-4 (IET Conference Publications; Vol. 2017, No. CP728).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Single Channel RF Signal Recovery for Nyquist Folding Receiver

AU - Uysal, F.

AU - Martin, J.C.

AU - Goodman, N.A.

N1 - Accepted Author Manuscript

PY - 2017

Y1 - 2017

N2 - This paper presents a method for exploiting wideband spectral information of real-valued radio frequency (RF) signals using the Nyquist Folding Receiver architecture. A new system model based on a symmetric modulation matrix is introduced so that the frequency band of the real input signals can be estimated without in-phase and quadrature reception and processing. To recover the original frequency of the input RF signal, we use the parameter-free sparse learning via iterative minimization (SLIM) method. Finally, the proposed model and the success of the recovery algorithm are demonstrated with data collected from an experimental testbed.

AB - This paper presents a method for exploiting wideband spectral information of real-valued radio frequency (RF) signals using the Nyquist Folding Receiver architecture. A new system model based on a symmetric modulation matrix is introduced so that the frequency band of the real input signals can be estimated without in-phase and quadrature reception and processing. To recover the original frequency of the input RF signal, we use the parameter-free sparse learning via iterative minimization (SLIM) method. Finally, the proposed model and the success of the recovery algorithm are demonstrated with data collected from an experimental testbed.

KW - Analog-to-information (A2I)

KW - Compressed sensing (CS)

KW - Nyquist folding receiver (NYFR)

UR - http://www.scopus.com/inward/record.url?scp=85048680135&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:e27055f1-bcb9-42d1-9160-cb8601018c1a

M3 - Conference contribution

T3 - IET Conference Publications

SP - 1

EP - 4

BT - IET International Conference on Radar Systems 2017

PB - Institution of Engineering and Technology

CY - London

T2 - Radar 2017: IET International Conference on Radar Systems

Y2 - 23 October 2017 through 26 October 2017

ER -

Single Channel RF Signal Recovery for Nyquist Folding Receiver

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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