Bernoulli Filter for Track-Before-Detect using MIMO Radar.
Saved in:
| Title: | Bernoulli Filter for Track-Before-Detect using MIMO Radar. |
|---|---|
| Authors: | Papi, F.1, Kyovtorov, V.1, Giuliani, R.1, Oliveri, F.1, Tarchi, D.1 |
| Source: | IEEE Signal Processing Letters. Sep2014, Vol. 21 Issue 9, p1145-1149. 5p. |
| Subjects: | MIMO radar, Bernoulli effect (Fluid dynamics), Antenna arrays, Signal-to-noise ratio, Electric filters, Algorithms |
| Abstract: | In this letter, we apply a Bernoulli Filter for moving target detection and tracking using real Multiple Input Multiple Output radar data in a challenging environment. The interest in MIMO radars has been growing since they can provide high performance at lower cost than conventional antenna arrays. The Bernoulli Filter performs tracking using the Track-Before-Detect approach, which is required to achieve satisfactory tracking performance in low signal-to-noise scenarios. The algorithm is validated with real MIMO data of a walking person. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 101289868 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Bernoulli Filter for Track-Before-Detect using MIMO Radar. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Papi%2C+F%2E%22">Papi, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kyovtorov%2C+V%2E%22">Kyovtorov, V.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Giuliani%2C+R%2E%22">Giuliani, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Oliveri%2C+F%2E%22">Oliveri, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tarchi%2C+D%2E%22">Tarchi, D.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Signal+Processing+Letters%22">IEEE Signal Processing Letters</searchLink>. Sep2014, Vol. 21 Issue 9, p1145-1149. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22MIMO+radar%22">MIMO radar</searchLink><br /><searchLink fieldCode="DE" term="%22Bernoulli+effect+%28Fluid+dynamics%29%22">Bernoulli effect (Fluid dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Antenna+arrays%22">Antenna arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+filters%22">Electric filters</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this letter, we apply a Bernoulli Filter for moving target detection and tracking using real Multiple Input Multiple Output radar data in a challenging environment. The interest in MIMO radars has been growing since they can provide high performance at lower cost than conventional antenna arrays. The Bernoulli Filter performs tracking using the Track-Before-Detect approach, which is required to achieve satisfactory tracking performance in low signal-to-noise scenarios. The algorithm is validated with real MIMO data of a walking person. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Signal Processing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=101289868 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/LSP.2014.2325566 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1145 Subjects: – SubjectFull: MIMO radar Type: general – SubjectFull: Bernoulli effect (Fluid dynamics) Type: general – SubjectFull: Antenna arrays Type: general – SubjectFull: Signal-to-noise ratio Type: general – SubjectFull: Electric filters Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: Bernoulli Filter for Track-Before-Detect using MIMO Radar. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Papi, F. – PersonEntity: Name: NameFull: Kyovtorov, V. – PersonEntity: Name: NameFull: Giuliani, R. – PersonEntity: Name: NameFull: Oliveri, F. – PersonEntity: Name: NameFull: Tarchi, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 10709908 Numbering: – Type: volume Value: 21 – Type: issue Value: 9 Titles: – TitleFull: IEEE Signal Processing Letters Type: main |
| ResultId | 1 |