ICA-Based Separation and DOA Estimation of Analog Modulated Signals in Multipath Environment

Kunihiko YOKOI; Nozomu HAMADA

doi:10.1093/ietcom/e88-b.11.4246

ICA-Based Separation and DOA Estimation of Analog Modulated Signals in Multipath Environment

Kunihiko YOKOI, Nozomu HAMADA

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The blind separation problem of analog modulated radio signals and their DOA (Direction Of Arrival) estimation problem are considered. These problems are very important in radio surveillance. Based on the idea of Carlos and Takada [1], the following two methods are proposed for an Independent Component Analysis (ICA) based radio surveillance system. The first method is concerned with the improvement of DOA estimation accuracy after signal separation by ICA. Another method treats separation and DOA estimation in multipath environment. The effectiveness of the proposed methods is proved by computer simulation.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.11 pp.4246-4249

Publication Date: 2005/11/01

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DOI: 10.1093/ietcom/e88-b.11.4246

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

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Kunihiko YOKOI, Nozomu HAMADA, "ICA-Based Separation and DOA Estimation of Analog Modulated Signals in Multipath Environment" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 11, pp. 4246-4249, November 2005, doi: 10.1093/ietcom/e88-b.11.4246.
Abstract: The blind separation problem of analog modulated radio signals and their DOA (Direction Of Arrival) estimation problem are considered. These problems are very important in radio surveillance. Based on the idea of Carlos and Takada [1], the following two methods are proposed for an Independent Component Analysis (ICA) based radio surveillance system. The first method is concerned with the improvement of DOA estimation accuracy after signal separation by ICA. Another method treats separation and DOA estimation in multipath environment. The effectiveness of the proposed methods is proved by computer simulation.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.11.4246/_p

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@ARTICLE{e88-b_11_4246,
author={Kunihiko YOKOI, Nozomu HAMADA, },
journal={IEICE TRANSACTIONS on Communications},
title={ICA-Based Separation and DOA Estimation of Analog Modulated Signals in Multipath Environment},
year={2005},
volume={E88-B},
number={11},
pages={4246-4249},
abstract={The blind separation problem of analog modulated radio signals and their DOA (Direction Of Arrival) estimation problem are considered. These problems are very important in radio surveillance. Based on the idea of Carlos and Takada [1], the following two methods are proposed for an Independent Component Analysis (ICA) based radio surveillance system. The first method is concerned with the improvement of DOA estimation accuracy after signal separation by ICA. Another method treats separation and DOA estimation in multipath environment. The effectiveness of the proposed methods is proved by computer simulation.},
keywords={},
doi={10.1093/ietcom/e88-b.11.4246},
ISSN={},
month={November},}

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TY - JOUR
TI - ICA-Based Separation and DOA Estimation of Analog Modulated Signals in Multipath Environment
T2 - IEICE TRANSACTIONS on Communications
SP - 4246
EP - 4249
AU - Kunihiko YOKOI
AU - Nozomu HAMADA
PY - 2005
DO - 10.1093/ietcom/e88-b.11.4246
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2005
AB - The blind separation problem of analog modulated radio signals and their DOA (Direction Of Arrival) estimation problem are considered. These problems are very important in radio surveillance. Based on the idea of Carlos and Takada [1], the following two methods are proposed for an Independent Component Analysis (ICA) based radio surveillance system. The first method is concerned with the improvement of DOA estimation accuracy after signal separation by ICA. Another method treats separation and DOA estimation in multipath environment. The effectiveness of the proposed methods is proved by computer simulation.
ER -