Blind source separation and beamforming: Algebraic technique analysis
Blind source separation (BSS) and blind beamforming schemes attempt to separate additive source signals, collected at a sensor array, and their direction-of-arrival (DOA). To this extent, many different and powerful algorithms have been produced to accomplish these tasks. However, unlike an optimal...
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| Format: | Journal article |
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2004
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| _version_ | 1826291087286730752 |
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| author | Coviello, C Sibul, L |
| author_facet | Coviello, C Sibul, L |
| author_sort | Coviello, C |
| collection | OXFORD |
| description | Blind source separation (BSS) and blind beamforming schemes attempt to separate additive source signals, collected at a sensor array, and their direction-of-arrival (DOA). To this extent, many different and powerful algorithms have been produced to accomplish these tasks. However, unlike an optimal or adaptive method, an algebraic method for BSS and blind beamforming has the relative advantage of simplicity. This paper investigates such a technique that provides closed-form, algebraic expressions for BSS and beamforming in terms of performance and reliability. We provide these results, as well as summary of the properties, and possible uses for this technique, in contrast to more optimal, adaptive techniques. |
| first_indexed | 2024-03-07T02:54:07Z |
| format | Journal article |
| id | oxford-uuid:aeb2a275-ed65-4e0e-b984-2a37bb79cffc |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:54:07Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | oxford-uuid:aeb2a275-ed65-4e0e-b984-2a37bb79cffc2022-03-27T03:44:16ZBlind source separation and beamforming: Algebraic technique analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:aeb2a275-ed65-4e0e-b984-2a37bb79cffcSymplectic Elements at Oxford2004Coviello, CSibul, LBlind source separation (BSS) and blind beamforming schemes attempt to separate additive source signals, collected at a sensor array, and their direction-of-arrival (DOA). To this extent, many different and powerful algorithms have been produced to accomplish these tasks. However, unlike an optimal or adaptive method, an algebraic method for BSS and blind beamforming has the relative advantage of simplicity. This paper investigates such a technique that provides closed-form, algebraic expressions for BSS and beamforming in terms of performance and reliability. We provide these results, as well as summary of the properties, and possible uses for this technique, in contrast to more optimal, adaptive techniques. |
| spellingShingle | Coviello, C Sibul, L Blind source separation and beamforming: Algebraic technique analysis |
| title | Blind source separation and beamforming: Algebraic technique analysis |
| title_full | Blind source separation and beamforming: Algebraic technique analysis |
| title_fullStr | Blind source separation and beamforming: Algebraic technique analysis |
| title_full_unstemmed | Blind source separation and beamforming: Algebraic technique analysis |
| title_short | Blind source separation and beamforming: Algebraic technique analysis |
| title_sort | blind source separation and beamforming algebraic technique analysis |
| work_keys_str_mv | AT covielloc blindsourceseparationandbeamformingalgebraictechniqueanalysis AT sibull blindsourceseparationandbeamformingalgebraictechniqueanalysis |