A space time array processing for passive geolocalization of radio transmitters

The problem of passive localization is commonly solved by independently measuring intermediate parameters (such as angles of arrival (AOA), times of arrival (TOA)...) on several multiple sensors base stations in a first step. In a second step, the transmitted parameters are then used to estimate the...

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Published in2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 2596 - 2599
Main Authors Bosse, Jonathan, Ferreol, Anne, Larzabal, Pascal
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
AOA estimation
Array processing
Arrays
Base stations
Emitter geolocalization
Estimation
Monte Carlo methods
Sensors
Signal processing algorithms
Wideband
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Summary:The problem of passive localization is commonly solved by independently measuring intermediate parameters (such as angles of arrival (AOA), times of arrival (TOA)...) on several multiple sensors base stations in a first step. In a second step, the transmitted parameters are then used to estimate the position. Recently, studies proposed new promising one step algorithms based on stacked multiple station observations vectors gathering all received signals of all base stations. This strategy leads naturally to a wideband estimation problem, solved in this paper by an alternative space-time processing. The proposed algorithm is compared to existing techniques and the corresponding Cramer-rao bound.
ISBN:9781457705380
1457705389
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5947016