Zhang Xuedong, Yang Juan, Sabra Karim
Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332,
J Acoust Soc Am. 2020 Feb;147(2):EL106. doi: 10.1121/10.0000709.
The original ray-based blind deconvolution (RBD) algorithm estimates the phase of a source of opportunity-e.g., a shipping vessel-using conventional wideband beamforming (CWBF) along a well-resolved ray-path to estimate the channel impulse response (CIR). However, for the case of an anisotropic radiator and when using a short-aperture receiving array, CWBF is unable to accurately beamform on weak multipath arrivals. Instead, a higher-resolution RBD algorithm based on single snapshot adaptive beamforming is introduced by using space-frequency smoothing of the array covariance matrix; and its performance is demonstrated using experimental recordings of a container vessel to estimate the bottom-bounce arrival of the CIR.
原始的基于射线的盲反卷积（RBD）算法利用传统宽带波束形成（CWBF）沿着分辨率良好的射线路径估计机会源（如一艘运输船）的相位，以估计信道冲激响应（CIR）。然而，对于各向异性辐射器的情况以及使用短孔径接收阵列时，CWBF无法在弱多径到达信号上准确地进行波束形成。相反，通过对阵列协方差矩阵进行空频平滑，引入了一种基于单快照自适应波束形成的更高分辨率RBD算法；并使用一艘集装箱船的实验记录来估计CIR的海底反射到达信号，以此展示了该算法的性能。
