Goel Arun, Kumar Arun, Bahl Rajendar
Centre for Applied Research in Electronics, Indian Institute of Technology Delhi, New Delhi, 110016, India.
J Acoust Soc Am. 2019 Mar;145(3):1212. doi: 10.1121/1.5092212.
This paper presents the synthesis of a non-uniform linear array for two-dimensional Range-Bearing underwater acoustic imaging based on the multiple beam, measurement vectors (MMV) Compressive Sensing (CS) method. This method considers multiple steering directions in the mathematical model and exploits the sparsity of the oversampled linear aperture to obtain a thinned array structure. In this paper, a simulation study to synthesise the sparse linear array (SLA) for a Forward Looking Sonar system considering multiple beams in the field of view (FOV) was conducted. The comparison of the array synthesised using single measurement vector compressive sensing (SMV CS), which considers only the broadside beam in the mathematical model, is also presented. From the imaging point of view, when the SMV CS synthesised SLA is steered in a direction other than broadside, spurious/unwanted lobes appear in the beam pattern (BP). To overcome this problem, the MMV method and demonstrate its performance efficacy with a simulation study are proposed. The design of SLA for 37.5, 75, 150, 300, and 600 kHz with angular resolution 6.4°-0.4° with 11-149 beams in the FOV keeping the aperture fixed are presented, as is a design keeping angular resolution fixed at 1.5° to generalise a design of SLA for the above mentioned interested frequencies.
本文提出了一种基于多波束测量向量(MMV)压缩感知(CS)方法的用于二维距离-方位水下声学成像的非均匀线性阵列的合成方法。该方法在数学模型中考虑多个 steering 方向,并利用过采样线性孔径的稀疏性来获得稀疏阵列结构。本文进行了一项模拟研究,以合成用于前视声纳系统的稀疏线性阵列(SLA),该系统在视场(FOV)中考虑多个波束。还给出了使用仅在数学模型中考虑宽边波束的单测量向量压缩感知(SMV CS)合成的阵列的比较。从成像角度来看,当将 SMV CS 合成的 SLA 转向宽边以外的方向时,波束图(BP)中会出现杂散/不需要的旁瓣。为了克服这个问题,提出了 MMV 方法并通过模拟研究证明其性能功效。给出了在保持孔径固定的情况下,针对 37.5、75、150、300 和 600 kHz 设计的 SLA,其角分辨率为 6.4°-0.4°,视场中有 11-149 个波束,还给出了将角分辨率固定为 1.5°以推广上述感兴趣频率的 SLA 设计。