Affiliation:
1. M. A. Kartsev Computing System Research and Development Institute (NIIVK, JSC)
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.
Reference11 articles.
1. Chen S. China’s plan to use artificial intelligence to boost the thinking skills of nuclear submarine commanders. Available at: http://www.scmp.com/news/china/society/article/2131127/chinas-plan-use-artificial-intelligence-boost-thinking-skills (accessed 20.01.19).
2. Keipon J. Spatio-temporal spectral analysis with high resolution. TIIER, 1969, vol. 57, no. 8, pp. 69–79. (In Russian).
3. Borgiotti G. V., Kaplan L. J. Superresolution of uncorrelated interference sources by using adaptive array technique. IEEE Trans. Antennas Propagation, 1979, AP-27, pp. 842–845.
4. Lagunas M. A., Gasull A. An improved maximum likelihood method for power spectral density estimation. IEEE Trans. Acoustic, Speech and Signal Processing, 1984, ASSP-32, pp. 170–173.
5. Schmidt R. Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propagation, 1986, AP-34, pp. 276–280.