Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference
Based on the interference spectrogram in the element–frequency domain using the data measured by the horizontal linear array, the source range can be estimated through the striation-based beamforming (SBF) method and its variants. Estimation of the striation slope is the basis for these ranging meth...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/11/11/2117 |
_version_ | 1827639582491934720 |
---|---|
author | Pingzheng Li Yanqun Wu Wei Guo Chunyan Cao Yanxin Ma Lifan Li Hongze Leng Aolong Zhou Junqiang Song |
author_facet | Pingzheng Li Yanqun Wu Wei Guo Chunyan Cao Yanxin Ma Lifan Li Hongze Leng Aolong Zhou Junqiang Song |
author_sort | Pingzheng Li |
collection | DOAJ |
description | Based on the interference spectrogram in the element–frequency domain using the data measured by the horizontal linear array, the source range can be estimated through the striation-based beamforming (SBF) method and its variants. Estimation of the striation slope is the basis for these ranging methods. But in practical scenarios, the tonal interferences and other noise make it difficult to estimate the slope. In this paper, we proposed a two-dimensional low-pass filtering method after the two-dimensional discrete Fourier transform (2D-DFT) of the element–frequency domain spectrogram. The signals can be separated from the interference and noise using this filter. For the linear frequency-modulated signal without a known waveform, we also proposed an extraction and phase compensation method based on the time–frequency spectrogram, and the acoustic data obtained can be used for source ranging. The experimental results indicate that the methods proposed are feasible. |
first_indexed | 2024-03-09T16:42:22Z |
format | Article |
id | doaj.art-b0317ddae328412296e2e367c3545b15 |
institution | Directory Open Access Journal |
issn | 2077-1312 |
language | English |
last_indexed | 2024-03-09T16:42:22Z |
publishDate | 2023-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Marine Science and Engineering |
spelling | doaj.art-b0317ddae328412296e2e367c3545b152023-11-24T14:50:29ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-11-011111211710.3390/jmse11112117Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal InterferencePingzheng Li0Yanqun Wu1Wei Guo2Chunyan Cao3Yanxin Ma4Lifan Li5Hongze Leng6Aolong Zhou7Junqiang Song8College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaBased on the interference spectrogram in the element–frequency domain using the data measured by the horizontal linear array, the source range can be estimated through the striation-based beamforming (SBF) method and its variants. Estimation of the striation slope is the basis for these ranging methods. But in practical scenarios, the tonal interferences and other noise make it difficult to estimate the slope. In this paper, we proposed a two-dimensional low-pass filtering method after the two-dimensional discrete Fourier transform (2D-DFT) of the element–frequency domain spectrogram. The signals can be separated from the interference and noise using this filter. For the linear frequency-modulated signal without a known waveform, we also proposed an extraction and phase compensation method based on the time–frequency spectrogram, and the acoustic data obtained can be used for source ranging. The experimental results indicate that the methods proposed are feasible.https://www.mdpi.com/2077-1312/11/11/2117waveguide invariantlinear frequency-modulated signalhorizontal linear arraytwo-dimensional filteringstriation-based beamforming |
spellingShingle | Pingzheng Li Yanqun Wu Wei Guo Chunyan Cao Yanxin Ma Lifan Li Hongze Leng Aolong Zhou Junqiang Song Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference Journal of Marine Science and Engineering waveguide invariant linear frequency-modulated signal horizontal linear array two-dimensional filtering striation-based beamforming |
title | Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference |
title_full | Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference |
title_fullStr | Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference |
title_full_unstemmed | Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference |
title_short | Striation-Based Beamforming with Two-Dimensional Filtering for Suppressing Tonal Interference |
title_sort | striation based beamforming with two dimensional filtering for suppressing tonal interference |
topic | waveguide invariant linear frequency-modulated signal horizontal linear array two-dimensional filtering striation-based beamforming |
url | https://www.mdpi.com/2077-1312/11/11/2117 |
work_keys_str_mv | AT pingzhengli striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT yanqunwu striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT weiguo striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT chunyancao striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT yanxinma striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT lifanli striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT hongzeleng striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT aolongzhou striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference AT junqiangsong striationbasedbeamformingwithtwodimensionalfilteringforsuppressingtonalinterference |