A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection

Weisi Hua; Yixin Yang; Yuxuan Chen; Xianghao Hou

doi:10.1109/APSIPAASC65261.2025.11249283

A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection

Weisi Hua
, Yixin Yang
, Yuxuan Chen
, Xianghao Hou

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a Sliding-Window Range-Bearing Scan STAP (SWRB-STAP) method for underwater active sonar target detection. First, the fast-time data are partitioned into fine-range cells, and at each cell a local covariance estimate is obtained via a guard/training sliding-window strategy to precisely suppress reverberation at different ranges. Next, narrowband STAP filtering is performed in parallel across all range cells and bearing angles to generate a two-dimensional range-bearing power map. Semi-physical/synthetic results demonstrate that SWRB-STAP can significantly suppress clutter and reliably detect weak targets in reverberant environments.

Original language	English
Title of host publication	2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1527-1531
Number of pages	5
ISBN (Electronic)	9798331572068
DOIs	https://doi.org/10.1109/APSIPAASC65261.2025.11249283
State	Published - 2025
Event	17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025 - Singapore, Singapore Duration: 22 Oct 2025 → 24 Oct 2025

Publication series

Name	2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025

Conference

Conference	17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025
Country/Territory	Singapore
City	Singapore
Period	22/10/25 → 24/10/25

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10.1109/APSIPAASC65261.2025.11249283

Cite this

Hua, W., Yang, Y., Chen, Y., & Hou, X. (2025). A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection. In 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025 (pp. 1527-1531). (2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPAASC65261.2025.11249283

Hua, Weisi ; Yang, Yixin ; Chen, Yuxuan et al. / A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection. 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 1527-1531 (2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025).

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title = "A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection",

abstract = "This paper presents a Sliding-Window Range-Bearing Scan STAP (SWRB-STAP) method for underwater active sonar target detection. First, the fast-time data are partitioned into fine-range cells, and at each cell a local covariance estimate is obtained via a guard/training sliding-window strategy to precisely suppress reverberation at different ranges. Next, narrowband STAP filtering is performed in parallel across all range cells and bearing angles to generate a two-dimensional range-bearing power map. Semi-physical/synthetic results demonstrate that SWRB-STAP can significantly suppress clutter and reliably detect weak targets in reverberant environments.",

author = "Weisi Hua and Yixin Yang and Yuxuan Chen and Xianghao Hou",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025 ; Conference date: 22-10-2025 Through 24-10-2025",

year = "2025",

doi = "10.1109/APSIPAASC65261.2025.11249283",

language = "英语",

series = "2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1527--1531",

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Hua, W, Yang, Y, Chen, Y & Hou, X 2025, A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection. in 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025. 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025, Institute of Electrical and Electronics Engineers Inc., pp. 1527-1531, 17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025, Singapore, Singapore, 22/10/25. https://doi.org/10.1109/APSIPAASC65261.2025.11249283

A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection. / Hua, Weisi; Yang, Yixin; Chen, Yuxuan et al.
2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 1527-1531 (2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection

AU - Hua, Weisi

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AU - Chen, Yuxuan

AU - Hou, Xianghao

PY - 2025

Y1 - 2025

N2 - This paper presents a Sliding-Window Range-Bearing Scan STAP (SWRB-STAP) method for underwater active sonar target detection. First, the fast-time data are partitioned into fine-range cells, and at each cell a local covariance estimate is obtained via a guard/training sliding-window strategy to precisely suppress reverberation at different ranges. Next, narrowband STAP filtering is performed in parallel across all range cells and bearing angles to generate a two-dimensional range-bearing power map. Semi-physical/synthetic results demonstrate that SWRB-STAP can significantly suppress clutter and reliably detect weak targets in reverberant environments.

AB - This paper presents a Sliding-Window Range-Bearing Scan STAP (SWRB-STAP) method for underwater active sonar target detection. First, the fast-time data are partitioned into fine-range cells, and at each cell a local covariance estimate is obtained via a guard/training sliding-window strategy to precisely suppress reverberation at different ranges. Next, narrowband STAP filtering is performed in parallel across all range cells and bearing angles to generate a two-dimensional range-bearing power map. Semi-physical/synthetic results demonstrate that SWRB-STAP can significantly suppress clutter and reliably detect weak targets in reverberant environments.

UR - https://www.scopus.com/pages/publications/105030473326

U2 - 10.1109/APSIPAASC65261.2025.11249283

DO - 10.1109/APSIPAASC65261.2025.11249283

M3 - 会议稿件

AN - SCOPUS:105030473326

T3 - 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025

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BT - 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025

Y2 - 22 October 2025 through 24 October 2025

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Hua W, Yang Y, Chen Y, Hou X. A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection. In 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 1527-1531. (2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2025). doi: 10.1109/APSIPAASC65261.2025.11249283

A Sliding-Window Range-Bearing Scan STAP for Underwater Active Sonar Target Detection

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