Direction finding of nonstationary signals using a time-frequency hough transform.

We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.

Main Author: Cirillo, Luke A.
Other Authors: Zoubir, Abdelhak M., Amin, Moeness G.
Language: English
Published: 2005
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dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
author Cirillo, Luke A.
author_facet_str_mv Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
author_or_contributor_facet_str_mv Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
author_s Cirillo, Luke A.
spellingShingle Cirillo, Luke A.
Direction finding of nonstationary signals using a time-frequency hough transform.
author-letter Cirillo, Luke A.
author_sort_str Cirillo, Luke A.
author2 Zoubir, Abdelhak M.
Amin, Moeness G.
author2Str Zoubir, Abdelhak M.
Amin, Moeness G.
dc_title_str Direction finding of nonstationary signals using a time-frequency hough transform.
title Direction finding of nonstationary signals using a time-frequency hough transform.
title_short Direction finding of nonstationary signals using a time-frequency hough transform.
title_full Direction finding of nonstationary signals using a time-frequency hough transform.
title_fullStr Direction finding of nonstationary signals using a time-frequency hough transform.
title_full_unstemmed Direction finding of nonstationary signals using a time-frequency hough transform.
collection_title_sort_str direction finding of nonstationary signals using a time-frequency hough transform.
title_sort direction finding of nonstationary signals using a time-frequency hough transform.
description We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.
publishDate 2005
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dc.title Direction finding of nonstationary signals using a time-frequency hough transform.
dc.creator Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
dc.description We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.
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dc.source Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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