Efficient imaging method for multireceiver SAS
Abstract With the Loffeld's bistatic formula, the point target reference spectrum (PTRS) of multireceiver synthetic aperture sonar (SAS) can be decomposed into the quasi monostatic term and bistatic deformation (BD) term. The former term is analogous to the monostatic SAS PTRS while the latter...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | IET Radar, Sonar & Navigation |
| Online Access: | https://doi.org/10.1049/rsn2.12274 |
| _version_ | 1828749695616286720 |
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| author | Xuebo Zhang Peixuan Yang Xiao Feng Haixin Sun |
| author_facet | Xuebo Zhang Peixuan Yang Xiao Feng Haixin Sun |
| author_sort | Xuebo Zhang |
| collection | DOAJ |
| description | Abstract With the Loffeld's bistatic formula, the point target reference spectrum (PTRS) of multireceiver synthetic aperture sonar (SAS) can be decomposed into the quasi monostatic term and bistatic deformation (BD) term. The former term is analogous to the monostatic SAS PTRS while the latter one describes the bistatic phase introduced by the bistatic displacement between the transmitter and receiver. The multireceiver SAS echo signal can be transformed into monostatic SAS equivalent data after correcting the BD term. Based on the range sub‐block processing method, this data transformation is conducted by using the preprocessing step. Then, fast imaging processors based on monostatic SAS system can be directly exploited to process the monostatic SAS equivalent data. In this paper, the authors mainly focus on the application of non‐linear chirp scaling algorithm. At last, the simulations and real data are used to validate the presented method. The processing results show that the imaging performance of presented method is nearly close to that of traditional method. Besides, the imaging efficiency is highly improved compared to the phase centre approximation (PCA) method. |
| first_indexed | 2024-12-10T20:27:00Z |
| format | Article |
| id | doaj.art-84a41d00a3a74471a6b3ec5422eda626 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-12-10T20:27:00Z |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-84a41d00a3a74471a6b3ec5422eda6262022-12-22T01:34:50ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922022-09-011691470148310.1049/rsn2.12274Efficient imaging method for multireceiver SASXuebo Zhang0Peixuan Yang1Xiao Feng2Haixin Sun3College of Physics and Electronic Engineering Northwest Normal University Lanzhou ChinaAcoustic Signal & Electronics Science and Technology Corporation Lanzhou ChinaKey Laboratory of Southeast Coast Marine Information Intelligent Perception and Application Ministry of Natural Resources Xiamen ChinaKey Laboratory of Southeast Coast Marine Information Intelligent Perception and Application Ministry of Natural Resources Xiamen ChinaAbstract With the Loffeld's bistatic formula, the point target reference spectrum (PTRS) of multireceiver synthetic aperture sonar (SAS) can be decomposed into the quasi monostatic term and bistatic deformation (BD) term. The former term is analogous to the monostatic SAS PTRS while the latter one describes the bistatic phase introduced by the bistatic displacement between the transmitter and receiver. The multireceiver SAS echo signal can be transformed into monostatic SAS equivalent data after correcting the BD term. Based on the range sub‐block processing method, this data transformation is conducted by using the preprocessing step. Then, fast imaging processors based on monostatic SAS system can be directly exploited to process the monostatic SAS equivalent data. In this paper, the authors mainly focus on the application of non‐linear chirp scaling algorithm. At last, the simulations and real data are used to validate the presented method. The processing results show that the imaging performance of presented method is nearly close to that of traditional method. Besides, the imaging efficiency is highly improved compared to the phase centre approximation (PCA) method.https://doi.org/10.1049/rsn2.12274 |
| spellingShingle | Xuebo Zhang Peixuan Yang Xiao Feng Haixin Sun Efficient imaging method for multireceiver SAS IET Radar, Sonar & Navigation |
| title | Efficient imaging method for multireceiver SAS |
| title_full | Efficient imaging method for multireceiver SAS |
| title_fullStr | Efficient imaging method for multireceiver SAS |
| title_full_unstemmed | Efficient imaging method for multireceiver SAS |
| title_short | Efficient imaging method for multireceiver SAS |
| title_sort | efficient imaging method for multireceiver sas |
| url | https://doi.org/10.1049/rsn2.12274 |
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