DocumentCode :
3716059
Title :
Wide-band source localization based on spatio-temporal structure of data
Author :
Caroline Fossati;Salah Bourennane;Guilhem Villemin
Author_Institution :
Ecole Centrale Marseille, Aix-Marseille Université
fYear :
2015
Firstpage :
1376
Lastpage :
1380
Abstract :
In this paper, a new subspace method based on spatio-temporal structure of data is presented for estimation of directions-of-arrival (DOAs) of sources impinging on an array of sensors. Firstly, the signals received on the different sensors are processed independently sensor by sensor to estimate the Times Of Arrival (TOAs) of multipaths. Then, the obtained TOAs are post-processed to estimate the DOA of each ray path. Simulation results show that the performance of the proposed method is similar to those of HR methods, with an advantage in its ability to cope with the situation where the number of multipaths is much larger than that of antenna sensors, which arises in many practical situations.
Keywords :
"Covariance matrices","Direction-of-arrival estimation","Estimation","Sensor arrays","Smoothing methods"
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
Type :
conf
DOI :
10.1109/EUSIPCO.2015.7362609
Filename :
7362609
Link To Document :
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