A stochastic geometric approach to sensor array processing
A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array parameters, and unknown and stochastically time-varying number of nonstationary sources. A...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/30044 |
| _version_ | 1848752974588805120 |
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| author | Vo, Ba-Ngu Vo, Ba Tuong |
| author_facet | Vo, Ba-Ngu Vo, Ba Tuong |
| author_sort | Vo, Ba-Ngu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array parameters, and unknown and stochastically time-varying number of nonstationary sources. A system model for a common signal setting is constructed to demonstrate the proposed framework. |
| first_indexed | 2025-11-14T08:17:09Z |
| format | Conference Paper |
| id | curtin-20.500.11937-30044 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:17:09Z |
| publishDate | 2014 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-300442017-09-13T15:29:36Z A stochastic geometric approach to sensor array processing Vo, Ba-Ngu Vo, Ba Tuong A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array parameters, and unknown and stochastically time-varying number of nonstationary sources. A system model for a common signal setting is constructed to demonstrate the proposed framework. 2014 Conference Paper http://hdl.handle.net/20.500.11937/30044 10.1109/SSP.2014.6884619 IEEE Computer Society restricted |
| spellingShingle | Vo, Ba-Ngu Vo, Ba Tuong A stochastic geometric approach to sensor array processing |
| title | A stochastic geometric approach to sensor array processing |
| title_full | A stochastic geometric approach to sensor array processing |
| title_fullStr | A stochastic geometric approach to sensor array processing |
| title_full_unstemmed | A stochastic geometric approach to sensor array processing |
| title_short | A stochastic geometric approach to sensor array processing |
| title_sort | stochastic geometric approach to sensor array processing |
| url | http://hdl.handle.net/20.500.11937/30044 |