@InProceedings{7362609,
  author = {C. Fossati and S. Bourennane and G. Villemin},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Wide-band source localization based on spatio-temporal structure of data},
  year = {2015},
  pages = {1376-1380},
  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 = {array signal processing;direction-of-arrival estimation;time-of-arrival estimation;subspace method;sensor array;HR method;ray path;multipath TOA estimation;multipath time-of-arrival estimation;DOA estimation;direction-of-arrival estimation;data spatiotemporal structure;wideband source localization;Covariance matrices;Direction-of-arrival estimation;Estimation;Sensor arrays;Smoothing methods;Localization;High Resolution;Time of arrival;ray path association},
  doi = {10.1109/EUSIPCO.2015.7362609},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570104739.pdf},
}

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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":"array signal processing;direction-of-arrival estimation;time-of-arrival estimation;subspace method;sensor array;HR method;ray path;multipath TOA estimation;multipath time-of-arrival estimation;DOA estimation;direction-of-arrival estimation;data spatiotemporal structure;wideband source localization;Covariance matrices;Direction-of-arrival estimation;Estimation;Sensor arrays;Smoothing methods;Localization;High Resolution;Time of arrival;ray path association","doi":"10.1109/EUSIPCO.2015.7362609","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570104739.pdf","bibtex":"@InProceedings{7362609,\n author = {C. Fossati and S. Bourennane and G. Villemin},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {Wide-band source localization based on spatio-temporal structure of data},\n year = {2015},\n pages = {1376-1380},\n 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. 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