Threshold Region Performance of Multicarrier Maximum Likelihood Direction of Arrival Estimator.
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| Title: | Threshold Region Performance of Multicarrier Maximum Likelihood Direction of Arrival Estimator. |
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| Authors: | Filippini, Francesca1 (AUTHOR), Colone, Fabiola1 (AUTHOR), De Maio, Antonio2 (AUTHOR) |
| Source: | IEEE Transactions on Aerospace & Electronic Systems. Dec2019, Vol. 55 Issue 6, p3517-3530. 14p. |
| Subjects: | Sensor arrays, Signal-to-noise ratio, Maximum likelihood statistics |
| Abstract: | This paper addresses the performance characterization of a direction of arrival (DoA) estimator in the low signal-to-noise-ratio (SNR) region. The case of a sensor array simultaneously collecting signals emitted at multiple carrier frequencies by a single source is considered. A maximum likelihood (ML) approach is used as a reference method for DoA estimation and its accuracy is characterized in terms of mean square error (MSE). It is well known that for SNR values included in the so-called threshold region, the DoA estimation accuracy decreases rapidly, due to the presence of outliers. This effect can be possibly mitigated when multiple frequency channels are jointly exploited. However, the capability to predict this performance degradation is fundamental either for assessing the robustness of an existing sensor or for supporting its design. Therefore, the scope of this paper is to introduce appropriate approximations to the MSE of a multifrequency ML DoA estimator in order to provide a reliable characterization of its performance in the threshold region. Two models for the source signals are considered and separately discussed, namely the deterministic (or conditional) and stochastic (or unconditional). An extensive simulated analysis is reported to prove the tightness of the approximations and to characterize the benefits steming from the exploitation of signals emitted at multiple carriers. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Aerospace & Electronic Systems 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 140253355 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Threshold Region Performance of Multicarrier Maximum Likelihood Direction of Arrival Estimator. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Filippini%2C+Francesca%22">Filippini, Francesca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colone%2C+Fabiola%22">Colone, Fabiola</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De+Maio%2C+Antonio%22">De Maio, Antonio</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Aerospace+%26+Electronic+Systems%22">IEEE Transactions on Aerospace & Electronic Systems</searchLink>. Dec2019, Vol. 55 Issue 6, p3517-3530. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sensor+arrays%22">Sensor arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper addresses the performance characterization of a direction of arrival (DoA) estimator in the low signal-to-noise-ratio (SNR) region. The case of a sensor array simultaneously collecting signals emitted at multiple carrier frequencies by a single source is considered. A maximum likelihood (ML) approach is used as a reference method for DoA estimation and its accuracy is characterized in terms of mean square error (MSE). It is well known that for SNR values included in the so-called threshold region, the DoA estimation accuracy decreases rapidly, due to the presence of outliers. This effect can be possibly mitigated when multiple frequency channels are jointly exploited. However, the capability to predict this performance degradation is fundamental either for assessing the robustness of an existing sensor or for supporting its design. Therefore, the scope of this paper is to introduce appropriate approximations to the MSE of a multifrequency ML DoA estimator in order to provide a reliable characterization of its performance in the threshold region. Two models for the source signals are considered and separately discussed, namely the deterministic (or conditional) and stochastic (or unconditional). An extensive simulated analysis is reported to prove the tightness of the approximations and to characterize the benefits steming from the exploitation of signals emitted at multiple carriers. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Aerospace & Electronic Systems 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TAES.2019.2909335 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3517 Subjects: – SubjectFull: Sensor arrays Type: general – SubjectFull: Signal-to-noise ratio Type: general – SubjectFull: Maximum likelihood statistics Type: general Titles: – TitleFull: Threshold Region Performance of Multicarrier Maximum Likelihood Direction of Arrival Estimator. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Filippini, Francesca – PersonEntity: Name: NameFull: Colone, Fabiola – PersonEntity: Name: NameFull: De Maio, Antonio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 00189251 Numbering: – Type: volume Value: 55 – Type: issue Value: 6 Titles: – TitleFull: IEEE Transactions on Aerospace & Electronic Systems Type: main |
| ResultId | 1 |
