Academic Journal

Reduced-Dimension FDA-STAP for Range-Ambiguous Clutter Rejection Under Limited Snapshots.

Bibliographic Details
Title: Reduced-Dimension FDA-STAP for Range-Ambiguous Clutter Rejection Under Limited Snapshots.
Authors: Song, Di1,2 (AUTHOR) sandy@nynu.edu.cn, Song, Chunyu1,2 (AUTHOR), Li, Qiqi1 (AUTHOR), Shi, Jinmin1,2 (AUTHOR)
Source: Eng (2673-4117). Jul2026, Vol. 7 Issue 7, p324. 17p.
Subject Terms: *Space-time adaptive signal processing, *Dimensional reduction algorithms, *Interference suppression, *Radar signal processing, *Radar, *Radar in aeronautics, *Adaptive signal processing
Abstract: Space-time adaptive processing (STAP) has been widely recognized as an effective technique for suppressing clutter in airborne radar systems. Nevertheless, range ambiguity can seriously affect the clutter rejection capability of conventional STAP methods. Frequency diverse array (FDA) radar provides additional degrees of freedom by exploiting frequency offsets across array elements, thereby offering an effective solution to the range ambiguity problem. Based on this advantage, FDA-STAP has been proposed and developed. However, when the available snapshots are insufficient, the performance of FDA-STAP may deteriorate significantly due to the high-dimensional adaptive processing requirement. To address this issue, this paper investigates reduced-dimension STAP for airborne FDA radar in range-ambiguous environments and proposes an enhanced reduced-dimension FDA-STAP method, referred to as ERD-FDA-STAP. First, the signal model of airborne FDA-STAP radar is established to describe the received data characteristics. Then, a specially designed linear transformation matrix is introduced to decrease the system degrees of freedom. Finally, the proposed ERD-FDA-STAP algorithm is derived based on the minimum variance distortionless response criterion using the reduced-dimension data. Simulation results demonstrate that the proposed method achieves superior clutter suppression performance and maintains good robustness against array gain and phase errors. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
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DbLabel: Academic Search Index
An: 195799628
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1430.76818847656
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  Data: Reduced-Dimension FDA-STAP for Range-Ambiguous Clutter Rejection Under Limited Snapshots.
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  Data: <searchLink fieldCode="AR" term="%22Song%2C+Di%22">Song, Di</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sandy@nynu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Chunyu%22">Song, Chunyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qiqi%22">Li, Qiqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Jinmin%22">Shi, Jinmin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Eng+%282673-4117%29%22">Eng (2673-4117)</searchLink>. Jul2026, Vol. 7 Issue 7, p324. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Space-time+adaptive+signal+processing%22">Space-time adaptive signal processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Dimensional+reduction+algorithms%22">Dimensional reduction algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Interference+suppression%22">Interference suppression</searchLink><br />*<searchLink fieldCode="DE" term="%22Radar+signal+processing%22">Radar signal processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br />*<searchLink fieldCode="DE" term="%22Radar+in+aeronautics%22">Radar in aeronautics</searchLink><br />*<searchLink fieldCode="DE" term="%22Adaptive+signal+processing%22">Adaptive signal processing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Space-time adaptive processing (STAP) has been widely recognized as an effective technique for suppressing clutter in airborne radar systems. Nevertheless, range ambiguity can seriously affect the clutter rejection capability of conventional STAP methods. Frequency diverse array (FDA) radar provides additional degrees of freedom by exploiting frequency offsets across array elements, thereby offering an effective solution to the range ambiguity problem. Based on this advantage, FDA-STAP has been proposed and developed. However, when the available snapshots are insufficient, the performance of FDA-STAP may deteriorate significantly due to the high-dimensional adaptive processing requirement. To address this issue, this paper investigates reduced-dimension STAP for airborne FDA radar in range-ambiguous environments and proposes an enhanced reduced-dimension FDA-STAP method, referred to as ERD-FDA-STAP. First, the signal model of airborne FDA-STAP radar is established to describe the received data characteristics. Then, a specially designed linear transformation matrix is introduced to decrease the system degrees of freedom. Finally, the proposed ERD-FDA-STAP algorithm is derived based on the minimum variance distortionless response criterion using the reduced-dimension data. Simulation results demonstrate that the proposed method achieves superior clutter suppression performance and maintains good robustness against array gain and phase errors. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/eng7070324
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 324
    Subjects:
      – SubjectFull: Space-time adaptive signal processing
        Type: general
      – SubjectFull: Dimensional reduction algorithms
        Type: general
      – SubjectFull: Interference suppression
        Type: general
      – SubjectFull: Radar signal processing
        Type: general
      – SubjectFull: Radar
        Type: general
      – SubjectFull: Radar in aeronautics
        Type: general
      – SubjectFull: Adaptive signal processing
        Type: general
    Titles:
      – TitleFull: Reduced-Dimension FDA-STAP for Range-Ambiguous Clutter Rejection Under Limited Snapshots.
        Type: main
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          Name:
            NameFull: Song, Di
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            NameFull: Song, Chunyu
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            NameFull: Li, Qiqi
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            NameFull: Shi, Jinmin
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 26734117
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              Value: 7
            – Type: issue
              Value: 7
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            – TitleFull: Eng (2673-4117)
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