Research on the dot-by-dot imaging algorithm for multi-beam SAS with multi-frequency in azimuth

• Autorzy: Zhou T. , Li H. , Xu J. , Xu C.

Warianty tytułu

PL

Badania wielowiązkowego sensora SAS – zagadnienie dwuznaczności azymutu i algorytm obrazowania punkt po punkcie

• Języki publikacji: EN

Abstrakty

EN

In multi-beam synthetic aperture sonar (SAS), the smaller the transmit sensor array’s physics aperture is, the larger its synthetic aperture length is, and then the better its along-track resolution will be. But when the physics aperture is small, the mapping speed should be limited to avoid the azimuth ambiguity. In order to overcome this problem, a scheme of multi-beam SAS with multi-frequency in azimuth is proposed in this paper based on the sensor array configuration and basic principle of multi-beam SAS. A correlated math model is presented and the dot-by-dot imaging algorithm is simulated according to the new scheme. Compared with the primary multi-beam SAS scheme proposed before, the new scheme can improve the along-track resolution and increase the mapping speed. Computer simulation results are given to test the correctness and efficiency of the new scheme.

PL

W artykule przedstawiono nową strukturę wielowiązkowego sensora SAS, pozwalającą na eliminację problemów związanych z dwuznacznością azymutu. Proponowane rozwiązanie bazuje na podstawowych zasadach działania SAS oraz odpowiedniej konfiguracji tablicy czujników. Zbudowano także model matematyczny oraz opracowano algorytm pozwalający na obrazowanie działania punkt po punkcie. Dokonano weryfikacji symulacyjnej proponowanej struktury.

Słowa kluczowe

EN

underwater acoustic sensor array; synthetic aperture sonar; multi-beam; multi-frequency; dot-by-dot imaging

PL

tablica podwodnych czujników dźwięku; sensor SAS wielowiązkowy; obrazowanie dot-by-dot

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 3b
• Strony: 188--192
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Zhou T.

• Room #806, Shuisheng building, the Science and Technology on Underwater Acoustic Laboratory of Harbin Engineering University, Harbin, China

autor

Li H.

• Room #806, Shuisheng building, the Science and Technology on Underwater Acoustic Laboratory of Harbin Engineering University, Harbin, China

autor

Xu J.

• Room #806, Shuisheng building, the Science and Technology on Underwater Acoustic Laboratory of Harbin Engineering University, Harbin, China

autor

Xu C.

• Room #806, Shuisheng building, the Science and Technology on Underwater Acoustic Laboratory of Harbin Engineering University, Harbin, China

Bibliografia

• [1] YAO Bin. Study on multiple sub-array special module underwater acoustic imaging technology.Harbin: Harbin Engineering University, 2009.
• [2] MA Jian-lin, JIN Jin, LIU Qin. Multi-beam echosounder versus side scan object detection a comparative analysis. Hydrographic Surveying and Charting, 26(2006), No.3, 10-12.
• [3] ZHOU Tian, LI Hai-sen, ZHU Zhi-de. Performance analysis of improved multiple sub-array detection method in multi-beam bathymetry system. Technical Acoustics,24(3005), No.3, 152-156.
• [4] Michael P. Hayes, Peter T.Gough. Synthetic aperture sonar: a review of current status. IEEE Journal of Oceanic Engineering, 34(2009). No. 3, 207-224.
• [5] Philippe Courmontagne, Thomas Telandro, Akira Asada. An improvement on SAS image formation. OCEANS '09 IEEE Bremen: Balancing Technology with Future Needs, Bremen, Germany, 2009, 1-8.
• [6] Jiang X K, Sun C, Feng J.A novel image reconstruction for synthetic aperture sonar with single transmitter and multiplereceiver configuration. In: Proceedings of the IEEE Oceans 2004 Conference Proceedings, Kobe, Japan, 2004, 1940-1944.
• [7] XU Jiang, TANG Jin-song, ZHANG Chun-hua. Beam formation imaging algorithm for synthetic aperture sonar. Signal Processing, 19 (2003), No. 2, 157-160.
• [8] YANG Hai-liang, TANG Jin-song, ZHANG Sen. A chirp scaling imaging algorithm with non-uniform sampling in azimuth and without approximation of stop-and-hop for multiple-receiver synthetic aperture sonar. Chinese High Technology Letters, 19(2009), No. 9, 939-945.
• [9] Hayden J Callow. Signal processing for synthetic aperture sonar image enhancement.New Zealand: University of Canterbury, Christchurch, 2003.
• [10] Yao Yong-hong, Zhou Tian. Research on the dot-by-dot imaging algorithm for multi-beam SAS based on a new array configuration, Journal of electronics & information technology, accepted.
• [11] Sawa T, Aoki T, Yoshida H. Modified synthetic aperture algorithm for sonar systems. International Journal of Adaptive Control and Signal Processing, 2010, 24(2010), No.2,142-148.
• [12] LIU XIN-hua. Research on System Design and Image Reconstruction Algorithms for Interferometric Synthetic Aperture Sonar. Institute of Acoustics, Chinese Academy of Sciences. 2008, 19-22.
• [13] Koun-Tem Sun, Hsin-Te Chan, Man-Ting Ku, Chang Fu-Yuan, Tzu-Wei Huang. An Application of Fourier Transformation and Back-propagation Neural Network for Brain-computer Interface Cursor Control, Advanced Management Science, 1(2011), No.1, 11-21.