High Level Integrated System of Space Detector Network Integration

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 air...

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Bibliographic Details
Published in:Journal of physics. Conference series 2022-04, Vol.2242 (1), p.12040
Main Authors: Zhang, Ying, Ma, Zheng, Niu, Zhichao, Feng, Li
Format: Article
Language:English
Subjects:
Aircraft
Convolution
High level languages
High level synthesis
Infrared imagery
Network reliability
Neural networks
Physics
Power consumption
Radar imaging
Target recognition
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2242/1/012040