Open AccessHigh Level Integrated System of Space Detector Network Integration
Author(s) -
Ying Zhang,
Zheng Ma,
Zhichao Niu,
Feng Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2242/1/012040
Subject(s) - computer science , core (optical fiber) , field programmable gate array , embedded system , core network , reliability (semiconductor) , real time computing , convolutional neural network , computer network , power (physics) , artificial intelligence , telecommunications , physics , quantum mechanics
In order to meet the requirements of high reliability and low power consumption during the operation of aircraft, this paper adopts the high-level synthesis method to map the high-level language into RTL level code that can run directly on FPGA, and proposes an intelligent integration system for aircraft based on high-level synthesis. The input of aircraft system is image radar sensor data, visible image data and infrared image output. The output of the aircraft system is target identification. Including convolutional IP core, pooled IP core and fully connected IP core. The whole system uses 7-layer deep learning neural network structure, which is convolution IP core, pooled IP core, convolution IP core, pooled IP core, fully connected IP core, fully connected IP core, fully connected IP core.