Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter

This paper builds on the recently developed adaptive multi-Bernoulli filter, proposing a novel sensor control solution within the multi-object filtering scheme. Our sensor control method does not need any prior information on clutter and sensor field-of-view parameters. In addition, our control obje...

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Main Authors: Gostar, A., Hoseinnezhad, R., Bab-Hadiashar, A., Vo, Ba Tuong
Other Authors: N/A
Format: Conference Paper
Published: IEEE 2013
Online Access:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641107
http://hdl.handle.net/20.500.11937/45483
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author Gostar, A.
Hoseinnezhad, R.
Bab-Hadiashar, A.
Vo, Ba Tuong
author2 N/A
author_facet N/A
Gostar, A.
Hoseinnezhad, R.
Bab-Hadiashar, A.
Vo, Ba Tuong
author_sort Gostar, A.
building Curtin Institutional Repository
collection Online Access
description This paper builds on the recently developed adaptive multi-Bernoulli filter, proposing a novel sensor control solution within the multi-object filtering scheme. Our sensor control method does not need any prior information on clutter and sensor field-of-view parameters. In addition, our control objective is based on the novel strategy of minimizing the uncertainties (quantified by variance) of the cardinality, and object state estimates as well as the estimated rate of clutter. In terms of computation, our method is efficient, as it does not need to perform Monte Carlo sampling in the space of measurement sets. This method is particular useful in space situational awareness applications such as detection and tracking of space junk, as currently, there is limited information on the distribution of traceable objects in the space and clutters, and our method can effectively handle such uncertainties.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:25:51Z
publishDate 2013
publisher IEEE
recordtype eprints
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spelling curtin-20.500.11937-454832017-02-28T01:40:43Z Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter Gostar, A. Hoseinnezhad, R. Bab-Hadiashar, A. Vo, Ba Tuong N/A This paper builds on the recently developed adaptive multi-Bernoulli filter, proposing a novel sensor control solution within the multi-object filtering scheme. Our sensor control method does not need any prior information on clutter and sensor field-of-view parameters. In addition, our control objective is based on the novel strategy of minimizing the uncertainties (quantified by variance) of the cardinality, and object state estimates as well as the estimated rate of clutter. In terms of computation, our method is efficient, as it does not need to perform Monte Carlo sampling in the space of measurement sets. This method is particular useful in space situational awareness applications such as detection and tracking of space junk, as currently, there is limited information on the distribution of traceable objects in the space and clutters, and our method can effectively handle such uncertainties. 2013 Conference Paper http://hdl.handle.net/20.500.11937/45483 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641107 IEEE restricted
spellingShingle Gostar, A.
Hoseinnezhad, R.
Bab-Hadiashar, A.
Vo, Ba Tuong
Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title_full Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title_fullStr Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title_full_unstemmed Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title_short Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter
title_sort control of sensor with unknown clutter and detection profile using multi-bernoulli filter
url http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641107
http://hdl.handle.net/20.500.11937/45483