A high DOF and azimuth resolution beamforming via enhanced virtual aperture extension of joint linear prediction and inverse beamforming

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2024-11-02 DOI:10.1016/j.apacoust.2024.110360

Lijun Huang , Qian Zhou , Shuhan Liao , Boyu Zhao

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引用次数: 0

Abstract

Beamforming is a significant technique applied in many fields to infer the azimuth parameters of the acoustic source and improve the output signal-to-noise ratio (SNR) of the array. However, both the azimuth resolution and the degrees of freedom (DOF) for multi-source detection are limited by the finite array aperture. In this paper, a high-resolution, DOF-improved beamforming azimuth spectrum estimation method using an enhanced virtual aperture (EVA) extension is proposed. Firstly, a spectrum selection algorithm is presented, which effectively reduces the computation time through the time–frequency domain transformation. Secondly, an EVA extension algorithm is conducted through the joint expansion of bidirectional linear prediction (LP) and inverse beamforming (IBF) for increasing the number of the virtual array element significantly. Thirdly, the modified minimum variance distortion-less response (MVDR) based on the EVA array is proposed to obtain a sufficiently high azimuth resolution, improved DOF, and low sidelobes with relatively few calculations. For verification, the effectiveness of the proposed EVA-MVDR method is simulated by using MATLAB and experimented by adopting a shipborne platform on the lake, and the performance advantages in multi-source detection and background noise suppression over existing techniques are confirmed.

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通过联合线性预测和反波束成形的增强型虚拟孔径扩展实现高 DOF 和方位角分辨率波束成形

波束成形是一种应用于许多领域的重要技术，可用于推断声源的方位角参数并提高阵列的输出信噪比（SNR）。然而，用于多声源检测的方位角分辨率和自由度（DOF）都受到有限阵列孔径的限制。本文提出了一种使用增强型虚拟孔径（EVA）扩展的高分辨率、自由度改进型波束成形方位频谱估计方法。首先，本文提出了一种频谱选择算法，通过时频域变换有效缩短了计算时间。其次，通过双向线性预测（LP）和反波束成形（IBF）的联合扩展，提出了一种 EVA 扩展算法，大大增加了虚拟阵元的数量。第三，提出了基于 EVA 阵列的改进型最小方差无畸变响应（MVDR），以相对较少的计算量获得足够高的方位角分辨率、改进的 DOF 和较低的侧摆。为了验证所提出的 EVA-MVDR 方法的有效性，使用 MATLAB 对其进行了仿真，并采用船载平台在湖面上进行了实验，证实了与现有技术相比，该方法在多源探测和背景噪声抑制方面的性能优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.