Matched cross-spectrum phase processing for source depth estimation in deep water

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-09-05 DOI:10.1049/rsn2.12635
Lisheng Zhou, Xiaohong Yang, Guangying Zheng, Fangwei Zhu, Fangyong Wang
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Abstract

Zhou et al. (2022) proposed a method for instantaneous source depth estimation in deep water using matched beam intensity processing (MBIP) that leverages depth-related oscillatory features arising from Lloyd's mirror interference in the frequency domain (Appl. Acoust., 2022, 186, 108493). However, the efficacy of MBIP diminishes with a random source spectrum. To counteract the effect of a random source spectrum, a vertical line array (VLA) positioned near the sea bottom is employed and a cross-spectrum is generated from the conventional beamforming output, which is achieved by dividing the VLA into upper-half and lower-half arrays. The authors find that the cross-spectrum phase interference pattern is determined by the source depth and is unaffected by the source spectrum. Consequently, a matched cross-spectrum phase processing method is proposed, which demonstrates appreciable depth estimation accuracy compared to that of the existing techniques, as evidenced by the results from both simulated and experimental data.

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用于深水源深度估算的匹配交叉谱相位处理技术
Zhou 等人(2022 年)提出了一种利用匹配波束强度处理(MBIP)进行深水瞬时声源深度估计的方法,该方法利用了频域中劳埃德镜干扰产生的与深度相关的振荡特征(《应用声学》,2022 年,186 卷,108493 页)。然而,随机声源频谱会降低 MBIP 的功效。为了抵消随机源频谱的影响,采用了靠近海底的垂直线阵列(VLA),并通过将 VLA 分成上半阵列和下半阵列,从传统波束成形输出中生成交叉频谱。作者发现,交叉谱相位干扰模式由源深度决定,不受源谱的影响。因此,他们提出了一种匹配的跨谱相位处理方法,与现有技术相比,这种方法的深度估计精度非常高,模拟和实验数据的结果都证明了这一点。
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
期刊最新文献
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