Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.

This paper presents a new approach based on spatial time–frequency averaging for separating signals received by a uniform linear antenna array. In this approach, spatial averaging of the time–frequency distributions (TFDs) of the sensor data is performed at multiple time–frequency points. This avera...

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Main Authors: Zhang, Yimin., Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 2000
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spelling Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
Zhang, Yimin.
Amin, Moeness G.
This paper presents a new approach based on spatial time–frequency averaging for separating signals received by a uniform linear antenna array. In this approach, spatial averaging of the time–frequency distributions (TFDs) of the sensor data is performed at multiple time–frequency points. This averaging restores the diagonal structure of the source TFD matrix necessary for source separation. With spatial averaging, crossterms move from their off-diagonal positions in the source TFD matrix to become part of the matrix diagonal entries. It is shown that the proposed approach yields improved performance over the case when no spatial averaging is performed. Further, we demonstrate that in the context of source separation, the spatially averaged Wigner–Ville distribution outperforms the combined spatial–time–frequency averaged distributions, such as the one obtained by using the Choi–Williams distribution. Simulation examples involving the separation of two sources with close AM and FM modulations are presented.
2000
Villanova Faculty Authorship
vudl:173636
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 48, NO. 10, OCTOBER 2000.
en
dc.title_txt_mv Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
dc.creator_txt_mv Zhang, Yimin.
Amin, Moeness G.
dc.description_txt_mv This paper presents a new approach based on spatial time–frequency averaging for separating signals received by a uniform linear antenna array. In this approach, spatial averaging of the time–frequency distributions (TFDs) of the sensor data is performed at multiple time–frequency points. This averaging restores the diagonal structure of the source TFD matrix necessary for source separation. With spatial averaging, crossterms move from their off-diagonal positions in the source TFD matrix to become part of the matrix diagonal entries. It is shown that the proposed approach yields improved performance over the case when no spatial averaging is performed. Further, we demonstrate that in the context of source separation, the spatially averaged Wigner–Ville distribution outperforms the combined spatial–time–frequency averaged distributions, such as the one obtained by using the Choi–Williams distribution. Simulation examples involving the separation of two sources with close AM and FM modulations are presented.
dc.date_txt_mv 2000
dc.format_txt_mv Villanova Faculty Authorship
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dc.source_txt_mv IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 48, NO. 10, OCTOBER 2000.
dc.language_txt_mv en
author Zhang, Yimin.
Amin, Moeness G.
spellingShingle Zhang, Yimin.
Amin, Moeness G.
Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
author_facet Zhang, Yimin.
Amin, Moeness G.
dc_source_str_mv IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 48, NO. 10, OCTOBER 2000.
format Villanova Faculty Authorship
author_sort Zhang, Yimin.
dc_date_str 2000
dc_title_str Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
description This paper presents a new approach based on spatial time–frequency averaging for separating signals received by a uniform linear antenna array. In this approach, spatial averaging of the time–frequency distributions (TFDs) of the sensor data is performed at multiple time–frequency points. This averaging restores the diagonal structure of the source TFD matrix necessary for source separation. With spatial averaging, crossterms move from their off-diagonal positions in the source TFD matrix to become part of the matrix diagonal entries. It is shown that the proposed approach yields improved performance over the case when no spatial averaging is performed. Further, we demonstrate that in the context of source separation, the spatially averaged Wigner–Ville distribution outperforms the combined spatial–time–frequency averaged distributions, such as the one obtained by using the Choi–Williams distribution. Simulation examples involving the separation of two sources with close AM and FM modulations are presented.
title Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
title_full Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
title_fullStr Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
title_full_unstemmed Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
title_short Spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
title_sort spatial averaging of time frequency distributions for signal recovery in uniform linear arrays.
publishDate 2000
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language English
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