Jiang Jingning, Yang T C, Pan Xiang, Zhang Ting
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
J Acoust Soc Am. 2020 Dec;148(6):3762. doi: 10.1121/10.0002780.
Matched filter (MF) and conventional beamforming (CBF) are widely used in active sonar; the performance of the former (temporal resolution) is limited by the signal bandwidth, and that of the latter (angular resolution) is limited by the array aperture. Previous work has shown that angular resolution can be significantly improved by deconvolving the CBF outputs. In this paper, deconvolution is extended to the time domain by deconvolving the MF outputs, and a high-resolution two-dimensional deconvolution method is proposed to simultaneously improve the temporal and angular resolution. Numerical simulations and experimental tank data show that angular resolutions are improved 26 times, and temporal resolutions are improved 10 times compared with the conventional MF and CBF methods. Reverberations are much suppressed to allow target echoes to be detected from the received time series data.
匹配滤波器(MF)和传统波束形成(CBF)在有源声纳中被广泛应用;前者的性能(时间分辨率)受信号带宽限制,而后者的性能(角分辨率)受阵列孔径限制。先前的工作表明,通过对CBF输出进行反卷积可以显著提高角分辨率。本文通过对MF输出进行反卷积将反卷积扩展到时域,并提出了一种高分辨率二维反卷积方法,以同时提高时间分辨率和角分辨率。数值模拟和实验水槽数据表明,与传统的MF和CBF方法相比,角分辨率提高了26倍,时间分辨率提高了10倍。混响得到了很大程度的抑制,从而能够从接收到的时间序列数据中检测到目标回波。