Novel Digital Front End Based Interference Detection Methods

Andreas Mayer; Linus Maurer; Gernot Hueber; Benjamin Lindner; Christian Wicpalek; Richard Hagelauer

doi:10.1109/ECWT.2007.4403948

Novel Digital Front End Based Interference Detection Methods

Andreas Mayer, Linus Maurer, Gernot Hueber, Benjamin Lindner, Christian Wicpalek, Richard Hagelauer

Research output: Conference proceeding/Chapter in Book/Report/ › Conference Paper › peer-review

Abstract

The concept of Cognitive Radio (CR) is based on detecting the environmental radio spectrum, sensing changes and responding/reacting accordingly. Environmental observation requires methods for interference detection and evaluating the current spectral allocation. It is shown that classical methods of spectrum analysis like the Fast Fourier Transformation (FFT) have critical shortcomings in fullfilling the requirements of CR. The pivotal focus of this paper is to propose alternative approaches suitable for integration into the Digital Front End (DFE) of the Users Equipment (UE).

Original language	English
Title of host publication	2007 European Conference on Wireless Technologies
Publisher	IEEE Computer Society
Pages	70-73
Number of pages	4
ISBN (Print)	978-2-87487-003-3
DOIs	https://doi.org/10.1109/ECWT.2007.4403948
Publication status	Published - 10 Oct 2007
Externally published	Yes
Event	2007 European Conference on Wireless Technologies - Munich, Germany Duration: 8 Oct 2007 → 10 Oct 2007

Conference

Conference	2007 European Conference on Wireless Technologies
Period	8/10/07 → 10/10/07

Keywords

Interference
Chromium
Noise shaping
Frequency estimation
Gas detectors
Cognitive radio
Face detection
Analog-digital conversion
Filtering
Noise figure

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10.1109/ECWT.2007.4403948

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4403948

Cite this

@inproceedings{4f98cc5b1ae34e9ca4fc4ce83f5e48fb,

title = "Novel Digital Front End Based Interference Detection Methods",

abstract = "The concept of Cognitive Radio (CR) is based on detecting the environmental radio spectrum, sensing changes and responding/reacting accordingly. Environmental observation requires methods for interference detection and evaluating the current spectral allocation. It is shown that classical methods of spectrum analysis like the Fast Fourier Transformation (FFT) have critical shortcomings in fullfilling the requirements of CR. The pivotal focus of this paper is to propose alternative approaches suitable for integration into the Digital Front End (DFE) of the Users Equipment (UE).",

keywords = "Interference, Chromium, Noise shaping, Frequency estimation, Gas detectors, Cognitive radio, Face detection, Analog-digital conversion, Filtering, Noise figure",

author = "Andreas Mayer and Linus Maurer and Gernot Hueber and Benjamin Lindner and Christian Wicpalek and Richard Hagelauer",

year = "2007",

month = oct,

day = "10",

doi = "10.1109/ECWT.2007.4403948",

language = "English",

isbn = "978-2-87487-003-3",

pages = "70--73",

booktitle = "2007 European Conference on Wireless Technologies",

publisher = "IEEE Computer Society",

address = "United States",

note = "2007 European Conference on Wireless Technologies ; Conference date: 08-10-2007 Through 10-10-2007",

}

TY - GEN

T1 - Novel Digital Front End Based Interference Detection Methods

AU - Mayer, Andreas

AU - Maurer, Linus

AU - Hueber, Gernot

AU - Lindner, Benjamin

AU - Wicpalek, Christian

AU - Hagelauer, Richard

PY - 2007/10/10

Y1 - 2007/10/10

N2 - The concept of Cognitive Radio (CR) is based on detecting the environmental radio spectrum, sensing changes and responding/reacting accordingly. Environmental observation requires methods for interference detection and evaluating the current spectral allocation. It is shown that classical methods of spectrum analysis like the Fast Fourier Transformation (FFT) have critical shortcomings in fullfilling the requirements of CR. The pivotal focus of this paper is to propose alternative approaches suitable for integration into the Digital Front End (DFE) of the Users Equipment (UE).

AB - The concept of Cognitive Radio (CR) is based on detecting the environmental radio spectrum, sensing changes and responding/reacting accordingly. Environmental observation requires methods for interference detection and evaluating the current spectral allocation. It is shown that classical methods of spectrum analysis like the Fast Fourier Transformation (FFT) have critical shortcomings in fullfilling the requirements of CR. The pivotal focus of this paper is to propose alternative approaches suitable for integration into the Digital Front End (DFE) of the Users Equipment (UE).

KW - Interference

KW - Chromium

KW - Noise shaping

KW - Frequency estimation

KW - Gas detectors

KW - Cognitive radio

KW - Face detection

KW - Analog-digital conversion

KW - Filtering

KW - Noise figure

UR - https://ieeexplore.ieee.org/document/4403948/

U2 - 10.1109/ECWT.2007.4403948

DO - 10.1109/ECWT.2007.4403948

M3 - Conference Paper

SN - 978-2-87487-003-3

SP - 70

EP - 73

BT - 2007 European Conference on Wireless Technologies

PB - IEEE Computer Society

T2 - 2007 European Conference on Wireless Technologies

Y2 - 8 October 2007 through 10 October 2007

ER -

Novel Digital Front End Based Interference Detection Methods

Abstract

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Keywords

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