Characterization of near-field scattering using quadratic sensor-angle distributions.

We address the problem of characterizing the power attributed to local near-field scattering for the case of a linear equi-spaced array of sensors. The proposed method uses what we have termed the quadratic sensor angle distribution (SAD), previously called the spatial Wigner distribution. This distribution is a characterization of the power at every angle for each sensor in the array. In this distribution near-field sources have different angle for each sensor. The SAD is a joint-variable distribution and a dual in sensor number and angle to Cohen's class of time-frequency distributions. We use a known test source to illuminate the local scatterer distribution we wish to characterize and modify the received array snapshots to remove, via orthogonal projection, the direct propagation path from the test source so as to reveal the less powerful local scatter. An example is provided to demonstrate our technique.

Main Author: Frazer, Gordon J.
Other Authors: Amin, Moeness G.
Language: English
Published: 2002
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173207
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dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, FL, May 2002.
author Frazer, Gordon J.
author_s Frazer, Gordon J.
spellingShingle Frazer, Gordon J.
Characterization of near-field scattering using quadratic sensor-angle distributions.
author-letter Frazer, Gordon J.
author_sort_str Frazer, Gordon J.
author2 Amin, Moeness G.
author2Str Amin, Moeness G.
dc_title_str Characterization of near-field scattering using quadratic sensor-angle distributions.
title Characterization of near-field scattering using quadratic sensor-angle distributions.
title_short Characterization of near-field scattering using quadratic sensor-angle distributions.
title_full Characterization of near-field scattering using quadratic sensor-angle distributions.
title_fullStr Characterization of near-field scattering using quadratic sensor-angle distributions.
title_full_unstemmed Characterization of near-field scattering using quadratic sensor-angle distributions.
collection_title_sort_str characterization of near-field scattering using quadratic sensor-angle distributions.
title_sort characterization of near-field scattering using quadratic sensor-angle distributions.
description We address the problem of characterizing the power attributed to local near-field scattering for the case of a linear equi-spaced array of sensors. The proposed method uses what we have termed the quadratic sensor angle distribution (SAD), previously called the spatial Wigner distribution. This distribution is a characterization of the power at every angle for each sensor in the array. In this distribution near-field sources have different angle for each sensor. The SAD is a joint-variable distribution and a dual in sensor number and angle to Cohen's class of time-frequency distributions. We use a known test source to illuminate the local scatterer distribution we wish to characterize and modify the received array snapshots to remove, via orthogonal projection, the direct propagation path from the test source so as to reveal the less powerful local scatter. An example is provided to demonstrate our technique.
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dc.title Characterization of near-field scattering using quadratic sensor-angle distributions.
dc.creator Frazer, Gordon J.
Amin, Moeness G.
dc.description We address the problem of characterizing the power attributed to local near-field scattering for the case of a linear equi-spaced array of sensors. The proposed method uses what we have termed the quadratic sensor angle distribution (SAD), previously called the spatial Wigner distribution. This distribution is a characterization of the power at every angle for each sensor in the array. In this distribution near-field sources have different angle for each sensor. The SAD is a joint-variable distribution and a dual in sensor number and angle to Cohen's class of time-frequency distributions. We use a known test source to illuminate the local scatterer distribution we wish to characterize and modify the received array snapshots to remove, via orthogonal projection, the direct propagation path from the test source so as to reveal the less powerful local scatter. An example is provided to demonstrate our technique.
dc.date 2002
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dc.source Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, FL, May 2002.
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