Optimising collection geometry for long-range synthetic aperture sonar interferometry

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Roy Edgar Hansen, Torstein Olsmo Sæbø
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引用次数: 0

Abstract

Interferometric synthetic aperture sonar (SAS) is a technique to image and map the seabed in very high resolution. For large area coverage rate systems with hundreds of metres swath width, the achievable performance varies significantly over the swath. The performance is a function of system, collection geometry, and seabed type. A model is suggested to optimise the collection geometry for maximising area coverage rate given certain optimisation criteria, such as observation geometry, signal-to-noise ratio, depth measurement accuracy, and coverage within swath. The model is fitted to measurements (or calibrated) through a simple procedure. Specifically, the effect of vehicle altitude during the interferometric SAS data collection is studied. A novel model on data collected by a HUGIN Superior autonomous underwater vehicle carrying a HISAS 1032 Dual Rx interferometric SAS is demonstrated. The authors show that optimising the collection geometry, and in this case specifically the vehicle altitude, significantly improves the overall performance.

Abstract Image

远距离合成孔径声纳干涉测量的采集几何优化
干涉合成孔径声呐(SAS)是一种高分辨率的海底成像和测绘技术。对于数百米宽的大面积覆盖率系统,可实现的性能在带状上变化很大。性能是系统、收集几何和海底类型的函数。在给定某些优化标准(如观测几何形状、信噪比、深度测量精度和条带内覆盖率)的情况下,建议使用一个模型来优化采集几何形状,以最大化区域覆盖率。该模型通过一个简单的程序来适应测量(或校准)。具体来说,研究了车辆高度对干涉式SAS数据采集的影响。基于搭载HISAS 1032双Rx干涉SAS的HUGIN Superior自主水下航行器采集的数据,建立了一种新的模型。作者表明,优化收集几何,在这种情况下,特别是车辆高度,显著提高了整体性能。
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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.
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