A signal subspace approach for interference locations in adaptive antenna arrays.

A signal subspace approach for interference locations in adaptive antenna arrays.

Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be im...

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Main Author: Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 1990
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173099
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spelling A signal subspace approach for interference locations in adaptive antenna arrays.
Amin, Moeness G.
Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be implemented using continuous-time adaptive loops, locating the interferences using only the adaptive weights provides an option to avoid sampling and, in turn, eliminates the need for the data snap shots. This option is important to consider when operating at high frequency and with large signal bandwidth. The combined adaptive-eigenstructure approach is presented using exact statistics and the assumption of narrow-band uncorrelated jamming sources.
1990
Villanova Faculty Authorship
vudl:173099
Proceedings of the Fifth IEEE Workshop on Spectrum Estimation and Modeling, Rochester, NY, October 1990.
en
dc.title_txt_mv A signal subspace approach for interference locations in adaptive antenna arrays.
dc.creator_txt_mv Amin, Moeness G.
dc.description_txt_mv Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be implemented using continuous-time adaptive loops, locating the interferences using only the adaptive weights provides an option to avoid sampling and, in turn, eliminates the need for the data snap shots. This option is important to consider when operating at high frequency and with large signal bandwidth. The combined adaptive-eigenstructure approach is presented using exact statistics and the assumption of narrow-band uncorrelated jamming sources.
dc.date_txt_mv 1990
dc.format_txt_mv Villanova Faculty Authorship
dc.identifier_txt_mv vudl:173099
dc.source_txt_mv Proceedings of the Fifth IEEE Workshop on Spectrum Estimation and Modeling, Rochester, NY, October 1990.
dc.language_txt_mv en
author Amin, Moeness G.
spellingShingle Amin, Moeness G.
A signal subspace approach for interference locations in adaptive antenna arrays.
author_facet Amin, Moeness G.
dc_source_str_mv Proceedings of the Fifth IEEE Workshop on Spectrum Estimation and Modeling, Rochester, NY, October 1990.
format Villanova Faculty Authorship
author_sort Amin, Moeness G.
dc_date_str 1990
dc_title_str A signal subspace approach for interference locations in adaptive antenna arrays.
description Closed-loop adaptive weights corresponding to different mainbeam directions are shown to have sufficient information which can be processed by eigenstructure methods to yield the signal and noise subspaces without the need for an estimate of the covariance matrix. Since adaptive algorithms can be implemented using continuous-time adaptive loops, locating the interferences using only the adaptive weights provides an option to avoid sampling and, in turn, eliminates the need for the data snap shots. This option is important to consider when operating at high frequency and with large signal bandwidth. The combined adaptive-eigenstructure approach is presented using exact statistics and the assumption of narrow-band uncorrelated jamming sources.
title A signal subspace approach for interference locations in adaptive antenna arrays.
title_full A signal subspace approach for interference locations in adaptive antenna arrays.
title_fullStr A signal subspace approach for interference locations in adaptive antenna arrays.
title_full_unstemmed A signal subspace approach for interference locations in adaptive antenna arrays.
title_short A signal subspace approach for interference locations in adaptive antenna arrays.
title_sort signal subspace approach for interference locations in adaptive antenna arrays.
publishDate 1990
normalized_sort_date 1990-01-01T00:00:00Z
language English
collection_title_sort_str signal subspace approach for interference locations in adaptive antenna arrays.
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