ICA Based Blind Source Separation Applied to Radio Surveillance

Edgar CARLOS; Jun-ichi TAKADA

ICA Based Blind Source Separation Applied to Radio Surveillance

Edgar CARLOS, Jun-ichi TAKADA

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In radio surveillance systems we consider the problem of identifying interferers or illegal radios in licensed communication channels. The systems considered are receivers using arrays of antennas for spatial processing. At the output of each antenna, we have a mixture of communication signals. The mixture will depend on the distance of the source radios and the propagation environment. These signals may or may not have the same modulation type. The main four tasks in the radio surveillance system are: Separation of the source signals contained in the data mixture at the array antenna, modulation recognition to identify the illegal radio, direction of arrival estimation to pinpoint the location of the illegal radios, and demodulation to intercept the information contained within the illegal transmission. In this paper we deal with the application of the Fast ICA algorithm to a uniform linear array. Our interest is to separate the independent source signals from the mixture of signals obtained at the sensors. Since the target system operates in the HF domain, where analog modulations dominate, the impinging signals are assumed analog modulated communication signals.

Publication: IEICE TRANSACTIONS on Communications Vol.E86-B No.12 pp.3491-3497

Publication Date: 2003/12/01

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Type of Manuscript: Special Section PAPER (Special Issue on Software Defined Radio Technology and Its Applications)

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Edgar CARLOS, Jun-ichi TAKADA, "ICA Based Blind Source Separation Applied to Radio Surveillance" in IEICE TRANSACTIONS on Communications, vol. E86-B, no. 12, pp. 3491-3497, December 2003, doi: .
Abstract: In radio surveillance systems we consider the problem of identifying interferers or illegal radios in licensed communication channels. The systems considered are receivers using arrays of antennas for spatial processing. At the output of each antenna, we have a mixture of communication signals. The mixture will depend on the distance of the source radios and the propagation environment. These signals may or may not have the same modulation type. The main four tasks in the radio surveillance system are: Separation of the source signals contained in the data mixture at the array antenna, modulation recognition to identify the illegal radio, direction of arrival estimation to pinpoint the location of the illegal radios, and demodulation to intercept the information contained within the illegal transmission. In this paper we deal with the application of the Fast ICA algorithm to a uniform linear array. Our interest is to separate the independent source signals from the mixture of signals obtained at the sensors. Since the target system operates in the HF domain, where analog modulations dominate, the impinging signals are assumed analog modulated communication signals.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e86-b_12_3491/_p

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@ARTICLE{e86-b_12_3491,
author={Edgar CARLOS, Jun-ichi TAKADA, },
journal={IEICE TRANSACTIONS on Communications},
title={ICA Based Blind Source Separation Applied to Radio Surveillance},
year={2003},
volume={E86-B},
number={12},
pages={3491-3497},
abstract={In radio surveillance systems we consider the problem of identifying interferers or illegal radios in licensed communication channels. The systems considered are receivers using arrays of antennas for spatial processing. At the output of each antenna, we have a mixture of communication signals. The mixture will depend on the distance of the source radios and the propagation environment. These signals may or may not have the same modulation type. The main four tasks in the radio surveillance system are: Separation of the source signals contained in the data mixture at the array antenna, modulation recognition to identify the illegal radio, direction of arrival estimation to pinpoint the location of the illegal radios, and demodulation to intercept the information contained within the illegal transmission. In this paper we deal with the application of the Fast ICA algorithm to a uniform linear array. Our interest is to separate the independent source signals from the mixture of signals obtained at the sensors. Since the target system operates in the HF domain, where analog modulations dominate, the impinging signals are assumed analog modulated communication signals.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - ICA Based Blind Source Separation Applied to Radio Surveillance
T2 - IEICE TRANSACTIONS on Communications
SP - 3491
EP - 3497
AU - Edgar CARLOS
AU - Jun-ichi TAKADA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2003
AB - In radio surveillance systems we consider the problem of identifying interferers or illegal radios in licensed communication channels. The systems considered are receivers using arrays of antennas for spatial processing. At the output of each antenna, we have a mixture of communication signals. The mixture will depend on the distance of the source radios and the propagation environment. These signals may or may not have the same modulation type. The main four tasks in the radio surveillance system are: Separation of the source signals contained in the data mixture at the array antenna, modulation recognition to identify the illegal radio, direction of arrival estimation to pinpoint the location of the illegal radios, and demodulation to intercept the information contained within the illegal transmission. In this paper we deal with the application of the Fast ICA algorithm to a uniform linear array. Our interest is to separate the independent source signals from the mixture of signals obtained at the sensors. Since the target system operates in the HF domain, where analog modulations dominate, the impinging signals are assumed analog modulated communication signals.
ER -