Information theoretic approach to signal feature detection for cognitive radio

Mostafa Afgani; Sinan Sinanovic; Harald Haas

doi:10.1109/GLOCOM.2008.ECP.602

Information theoretic approach to signal feature detection for cognitive radio

Mostafa Afgani, Sinan Sinanovic, Harald Haas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wireless signal in real-time for stimuli such as unexpected changes due to sporadic interference in radio frequency band of operation is at the core of such systems. In this paper, a method of detecting anomalies in a periodic signal by means of statistical analysis of its envelope is described. The proposed scheme makes use of the Kullback-Leibler divergence between probability distributions drawn from analogous segments of the periodic signal to detect anomalous events. Experiments conducted on real wireless signals suggest that the method described is simple, robust and effective for the analysis of periodic signals.

Original language	English
Title of host publication	IEEE Global Telecommunications Conference (GLOBECOM 2008)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	9781424423248
DOIs	https://doi.org/10.1109/GLOCOM.2008.ECP.602
Publication status	Published - 2008
Event	IEEE Global Telecommunications Conference (GLOBECOM 2008) - New Orleans, United States Duration: 30 Nov 2008 → 4 Dec 2008

Conference

Conference	IEEE Global Telecommunications Conference (GLOBECOM 2008)
Abbreviated title	IEEE GLOBECOM 2008
Country/Territory	United States
City	New Orleans
Period	30/11/08 → 4/12/08

Keywords

transceiver
radio communication
wireless signals
statistical analysis

Documents and Links

10.1109/GLOCOM.2008.ECP.602

Cite this

@inproceedings{9735aeb2dcc24004b8fd484ac91de33a,

title = "Information theoretic approach to signal feature detection for cognitive radio",

abstract = "Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wireless signal in real-time for stimuli such as unexpected changes due to sporadic interference in radio frequency band of operation is at the core of such systems. In this paper, a method of detecting anomalies in a periodic signal by means of statistical analysis of its envelope is described. The proposed scheme makes use of the Kullback-Leibler divergence between probability distributions drawn from analogous segments of the periodic signal to detect anomalous events. Experiments conducted on real wireless signals suggest that the method described is simple, robust and effective for the analysis of periodic signals.",

keywords = "transceiver , radio communication, wireless signals , statistical analysis",

author = "Mostafa Afgani and Sinan Sinanovic and Harald Haas",

year = "2008",

doi = "10.1109/GLOCOM.2008.ECP.602",

language = "English",

isbn = "9781424423248 ",

pages = "1--5",

booktitle = "IEEE Global Telecommunications Conference (GLOBECOM 2008)",

publisher = "IEEE",

address = "United States",

note = "IEEE Global Telecommunications Conference (GLOBECOM 2008), IEEE GLOBECOM 2008 ; Conference date: 30-11-2008 Through 04-12-2008",

}

TY - GEN

T1 - Information theoretic approach to signal feature detection for cognitive radio

AU - Afgani, Mostafa

AU - Sinanovic, Sinan

AU - Haas, Harald

PY - 2008

Y1 - 2008

N2 - Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wireless signal in real-time for stimuli such as unexpected changes due to sporadic interference in radio frequency band of operation is at the core of such systems. In this paper, a method of detecting anomalies in a periodic signal by means of statistical analysis of its envelope is described. The proposed scheme makes use of the Kullback-Leibler divergence between probability distributions drawn from analogous segments of the periodic signal to detect anomalous events. Experiments conducted on real wireless signals suggest that the method described is simple, robust and effective for the analysis of periodic signals.

AB - Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wireless signal in real-time for stimuli such as unexpected changes due to sporadic interference in radio frequency band of operation is at the core of such systems. In this paper, a method of detecting anomalies in a periodic signal by means of statistical analysis of its envelope is described. The proposed scheme makes use of the Kullback-Leibler divergence between probability distributions drawn from analogous segments of the periodic signal to detect anomalous events. Experiments conducted on real wireless signals suggest that the method described is simple, robust and effective for the analysis of periodic signals.

KW - transceiver

KW - radio communication

KW - wireless signals

KW - statistical analysis

U2 - 10.1109/GLOCOM.2008.ECP.602

DO - 10.1109/GLOCOM.2008.ECP.602

M3 - Conference contribution

SN - 9781424423248

SP - 1

EP - 5

BT - IEEE Global Telecommunications Conference (GLOBECOM 2008)

PB - IEEE

T2 - IEEE Global Telecommunications Conference (GLOBECOM 2008)

Y2 - 30 November 2008 through 4 December 2008

ER -

Information theoretic approach to signal feature detection for cognitive radio

Abstract

Conference

Keywords

Documents and Links

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Cite this