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JIANG Ying,YANG Zhiguo,LIU Zongwei,YANG Chunmei. 2018. High-resolution bottom detection algorithm for a multibeam echo-sounder system with a U-shaped array. Acta Oceanologica Sinica, 37(7):78-84
High-resolution bottom detection algorithm for a multibeam echo-sounder system with a U-shaped array
适用于U型阵多波束系统的高分辨底检测算法
Received:August 25, 2017  
DOI:10.1007/s13131-017-1246-9
Key words:high-resolution bottom detection  multibeam echo-sounder  subarray beamforming  virtual array transformation
中文关键词:  多波束回声声纳  高分辨底检测  子阵波束形成  虚拟阵列变换
基金项目:The National Natural Science Foundation of China under contract No. 41706066; the National Key R&D Program of China under contract No. 2016YFC1400200; the China-ASEAN Maritime Cooperation Fund.
Author NameAffiliationE-mail
JIANG Ying Key Laboratory of Marine Science and Numerical Modeling, The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China 
 
YANG Zhiguo China National Deep Sea Center, State Oceanic Administration, Qingdao 266237, China zg.yang@163.com 
LIU Zongwei Key Laboratory of Marine Science and Numerical Modeling, The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China 
 
YANG Chunmei Key Laboratory of Marine Science and Numerical Modeling, The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China 
 
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Abstract:
      High-resolution approaches such as multiple signal classification and estimation of signal parameters via rotational invariance techniques (ESPRIT) are currently employed widely in multibeam echo-sounder (MBES) systems for sea floor bathymetry, where a uniform line array is also required. However, due to the requirements in terms of the system coverage/resolution and installation space constraints, an MBES system usually employs a receiving array with a special shape, which means that high-resolution algorithms cannot be applied directly. In addition, the short-term stationary echo signals make it difficult to estimate the covariance matrix required by the high-resolution approaches, which further increases the complexity when applying the high-resolution algorithms in the MBES systems. The ESPRIT with multiple-angle subarray beamforming is employed to reduce the requirements in terms of the signal-to-noise ratio, number of snapshots, and computational effort. The simulations show that the new processing method can provide better fine-structure resolution. Then a high-resolution bottom detection (HRBD) algorithm is developed by combining the new processing method with virtual array transformation. The application of the HRBD algorithm to a U-shaped array is also discuss. The computer simulations and experimental data processing results verify the effectiveness of the proposed algorithm.
中文摘要:
      在多波束回声声纳系统中,高分辨处理算法例如MUSIC、ESPRIT,被广泛应用于海底地形的测绘。在应用高分辨算法时,一条均匀线阵是必要条件。然而,由于系统覆盖范围/分辨率的需求以及安装空间的限制,在多波束系统中经常会采用特殊形状的接收阵列,这使得高分辨算法无法直接应用。同时回波信号的短时平稳特性使得难以估计出协方差矩阵,这也增加了高分辨算法在多波束系统中的应用难度。本文首先介绍一种基于多角度子阵波束形成的ESPRIT算法,该算法能降低高分辨算法对信噪比、样本点数和计算能力的要求。仿真表明此算法能提供更好的分辨力。接着提出一种将基于多角度子阵波束形成的ESPRIT算法与虚拟阵列变换相结合的高分辨底检测算法,并针对高分辨底检测算法在U型阵上的应用进行了探讨。计算机仿真和试验数据处理结果验证了文章所提高分辨底检测算法的有效性。
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