计算机科学
雷达
模拟滤波器
模拟信号处理
滤波器(信号处理)
模拟信号
干扰(通信)
信号处理
噪音(视频)
电子工程
信号(编程语言)
作者
Alexander Yakushev,Nikolay Dembitsky
标识
DOI:10.1109/ent47717.2019.9030562
摘要
An increase in the requirements for airborne radars necessitates continuous improvement of methods for processing radar information. The relevance of the development of new approaches and breakthrough technologies is due to a contradiction between the promising characteristics of the radar and the extreme capabilities of the well-known technical solutions for processing radar information. The neuroprocessor model considered in the article is built on analog circuits. The development goal is to achieve high performance hardware recognition of signals by trained neuro-like devices. The developed analog neuro-filter is designed to solve the problems of recognizing periodic signals under conditions of high-intensity interference in the megahertz range. The experiments showed the possibility of separating signals from interference with a speed of several tens of microseconds, which was achieved through parallel processing of information and the use of analog logic in control circuits. An analog neuro filter can be a competitive alternative to digital signal recognition systems in compact equipment.
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