Two-Stage Sparsely Optimized Robust Differential Beamforming with High Directivity Factors.
Saved in:
| Title: | Two-Stage Sparsely Optimized Robust Differential Beamforming with High Directivity Factors. |
|---|---|
| Authors: | Li, Ling1 (AUTHOR) liling1347@stu.ouc.edu.cn, Yang, Hua1 (AUTHOR) hyang@ouc.edu.cn, Bi, Haijie1 (AUTHOR) bhj@stu.ouc.edu.cn, Yang, Shuaikang1 (AUTHOR) 1453615343@qq.com |
| Source: | Circuits, Systems & Signal Processing. Jun2025, Vol. 44 Issue 6, p3964-3982. 19p. |
| Subjects: | Differential forms, Sensor arrays, White noise, Beamforming, Problem solving |
| Abstract: | Differential beamforming (DBF) has attracted much attention due to its ability to achieve high directivity factors (DF) with limited array apertures. However, this beamforming technique remains highly sensitive to sensor self-noise and array errors, making it challenging to enhance the algorithm's resistance to interference while maintaining its robustness. This paper proposes a robust differential beamforming algorithm based on sparse optimization to address this issue. The algorithm fully uses the two-stage cascade structure of the filters to design the differential beamformer flexibly according to the target requirements. After forming a low-order differential beam pattern using the first-stage subfilter, the second-stage filter introduces amplitude response constraints and sparse constraints under the criterion of maximizing white noise gain (WNG). This ensures that the main lobe of the beam pattern consistently points toward the target direction and attenuates the beam response in the interval of the possible interference range as much as possible. This method effectively solves the problem of amplification of the sidelobe in the beam pattern of the second-stage filter within the cascade structure, so that the energy can be better concentrated in the main lobe under the beam pattern product theorem, which ultimately improves the interference immunity and DF of the algorithm. Simulation results illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] |
| Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 185156223 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Two-Stage Sparsely Optimized Robust Differential Beamforming with High Directivity Factors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Ling%22">Li, Ling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liling1347@stu.ouc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Hua%22">Yang, Hua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hyang@ouc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Bi%2C+Haijie%22">Bi, Haijie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bhj@stu.ouc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Shuaikang%22">Yang, Shuaikang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1453615343@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Circuits%2C+Systems+%26+Signal+Processing%22">Circuits, Systems & Signal Processing</searchLink>. Jun2025, Vol. 44 Issue 6, p3964-3982. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Differential+forms%22">Differential forms</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+arrays%22">Sensor arrays</searchLink><br /><searchLink fieldCode="DE" term="%22White+noise%22">White noise</searchLink><br /><searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Differential beamforming (DBF) has attracted much attention due to its ability to achieve high directivity factors (DF) with limited array apertures. However, this beamforming technique remains highly sensitive to sensor self-noise and array errors, making it challenging to enhance the algorithm's resistance to interference while maintaining its robustness. This paper proposes a robust differential beamforming algorithm based on sparse optimization to address this issue. The algorithm fully uses the two-stage cascade structure of the filters to design the differential beamformer flexibly according to the target requirements. After forming a low-order differential beam pattern using the first-stage subfilter, the second-stage filter introduces amplitude response constraints and sparse constraints under the criterion of maximizing white noise gain (WNG). This ensures that the main lobe of the beam pattern consistently points toward the target direction and attenuates the beam response in the interval of the possible interference range as much as possible. This method effectively solves the problem of amplification of the sidelobe in the beam pattern of the second-stage filter within the cascade structure, so that the energy can be better concentrated in the main lobe under the beam pattern product theorem, which ultimately improves the interference immunity and DF of the algorithm. Simulation results illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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=185156223 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00034-024-02972-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 3964 Subjects: – SubjectFull: Differential forms Type: general – SubjectFull: Sensor arrays Type: general – SubjectFull: White noise Type: general – SubjectFull: Beamforming Type: general – SubjectFull: Problem solving Type: general Titles: – TitleFull: Two-Stage Sparsely Optimized Robust Differential Beamforming with High Directivity Factors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Ling – PersonEntity: Name: NameFull: Yang, Hua – PersonEntity: Name: NameFull: Bi, Haijie – PersonEntity: Name: NameFull: Yang, Shuaikang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0278081X Numbering: – Type: volume Value: 44 – Type: issue Value: 6 Titles: – TitleFull: Circuits, Systems & Signal Processing Type: main |
| ResultId | 1 |
