Abstract
Recently, there has been an increase of interest in creating new neural network hydroacoustics algorithms, for example, test sites in the Arctic are being created to evaluate the effectiveness of target detection and to ensure the safety of the Canadian North. The open architecture allows you to adapt hardware to new threats or economic interests. Not only the equipment of radiation and reception of hydroacoustic systems is improved, but also their processing. The article discusses the ways of improvement and the principles of building specialized computers based on the GRIFON hardware platform, providing control and signal processing in mobile and stationary sonar systems. We consider an example of creating a complex that demonstrates the capabilities of the equipment and the prospects for creating calculators with high parameters and minimal mass‑dimensional characteristics. Described in detail the structure and principles of the mathematical software of specialized computer. Comparative characteristics of the proposed algorithms that can be used to optimize signal processing paths and the volume of digital equipment are given.
Highlights
Последнее время за рубежом повышенный интерес вызывают новые нейросетевые алгоритмы гидроакустики, например, создаются аппаратные средства для тестовых полигонов в Арктике для оценки эффективности обнаружения целей и обеспечения безопасности Севера Канады
There has been an increase of interest in creating new neural network hydroacoustics algorithms, for example, test sites in the Arctic are being created to evaluate the effectiveness of target detection and to ensure the safety of the Canadian North
The article discusses the ways of improvement and the principles of building specialized computers based on the GRIFON hardware platform, providing control and signal processing in mobile and stationary sonar systems
Summary
Для цитирования: Методы реализации нейросетевых алгоритмов гидроакустики на базе гетерогенной аппаратной платформы ГРИФОН / Г.
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