A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each co...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/97846 http://hdl.handle.net/10220/11362 |
| _version_ | 1826112387611099136 |
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| author | Wong, Thomas Kainam Wu, Ivan Yue Hsu, Yu-Sheng Song, Yang |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wong, Thomas Kainam Wu, Ivan Yue Hsu, Yu-Sheng Song, Yang |
| author_sort | Wong, Thomas Kainam |
| collection | NTU |
| description | This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each conditioned on a distinct event of sensors-breakdown. Those distinct events together describe the overall random phenomenon of the fallibility of the sensors that constitute the sensor-array. This new metric's tightness as an approximate lower bound is illustrated by Monte Carlo simulations of the maximum-likelihood estimator. |
| first_indexed | 2024-10-01T03:06:11Z |
| format | Journal Article |
| id | ntu-10356/97846 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:06:11Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/978462020-03-07T14:02:44Z A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown Wong, Thomas Kainam Wu, Ivan Yue Hsu, Yu-Sheng Song, Yang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each conditioned on a distinct event of sensors-breakdown. Those distinct events together describe the overall random phenomenon of the fallibility of the sensors that constitute the sensor-array. This new metric's tightness as an approximate lower bound is illustrated by Monte Carlo simulations of the maximum-likelihood estimator. 2013-07-15T02:29:08Z 2019-12-06T19:47:19Z 2013-07-15T02:29:08Z 2019-12-06T19:47:19Z 2011 2011 Journal Article https://hdl.handle.net/10356/97846 http://hdl.handle.net/10220/11362 10.1109/JSEN.2011.2165704 en IEEE sensors journal © 2011 IEEE. |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Wong, Thomas Kainam Wu, Ivan Yue Hsu, Yu-Sheng Song, Yang A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title | A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title_full | A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title_fullStr | A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title_full_unstemmed | A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title_short | A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown |
| title_sort | lower bound of doa estimates by an array randomly subject to sensor breakdown |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/97846 http://hdl.handle.net/10220/11362 |
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