FPGA-based airborne video processing and transmission system

LU Yao; MENG Dexu; ZHAO Jianning; LI Hailong; SHEN Yantao; LIU Ying

doi:10.20193/j.ices2097-4191.2025.0054

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Integrated Circuits and Embedded Systems ›› 2025, Vol. 25 ›› Issue (10) : 38-46. DOI: 10.20193/j.ices2097-4191.2025.0054

Research Paper

FPGA-based airborne video processing and transmission system

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Abstract

To address the limitations of SoC platforms in supporting professional video transmission in airborne environments, this paper proposes an FPGA-assisted airborne video processing and transmission system based on the RK3588. Serving as the core processing unit, the RK3588 is responsible for real-time video stream acquisition, target detection, and image enhancement. The processed video is then transmitted to the FPGA module via the MIPI-DSI2 interface. Considering that the MIPI-DSI2 interface is not suitable for long-distance or high-interference transmission scenarios, the FPGA module adopts a triple-frame buffering mechanism and performs image format conversion and SDI encoding to generate video streams compliant with the SMPTE standard. This ensures reliable video transmission quality and system stability under complex airborne conditions. The experimental results demonstrate that the proposed system effectively meets the demands of high-performance video processing and transmission in airborne applications.

Key words

FPGA / airborne video processing system / RK3588 / SDI / MIPI-DSI2

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LU Yao , MENG Dexu , ZHAO Jianning , et al . FPGA-based airborne video processing and transmission system[J]. Integrated Circuits and Embedded Systems. 2025, 25(10): 38-46 https://doi.org/10.20193/j.ices2097-4191.2025.0054

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	陈迪, 施隆照, 康健. 基于异构处理器的视频传输系统设计[J]. 微电子学与计算机, 2019, 36(7):87-92. CHEN D, SHI L Z, KANG J. Design of video transmission system based on heterogeneous processor[J]. Microelectronics & Computer, 2019, 36(7):87-92 (in Chinese). Cited in this article [1]

[2]	祝清瑞, 汤心溢, 李争, 等. 基于全可编程SoC的高速红外成像系统设计研究[J]. 激光与红外, 2016, 46(12):1491-1495. ZHU Q R, TANG X Y, LI Z, et al. Research on high-speed infrared imaging system design based on all-programmable SoC[J]. Laser & Infrared, 2016, 46(12):1491-1495 (in Chinese). Cited in this article [1]

[3]	王毅, 张禹, 钱宏文. 基于Hi3559的多路HD-SDI视频传输系统[J]. 电子技术应用, 2022, 48(3):83-87. WANG Y, ZHANG Y, QIAN H W. Multi-channel HD-SDI video transmission system based on Hi3559[J]. Application of Electronic Technique, 2022, 48(3):83-87 (in Chinese). Cited in this article [1]

[4]

梁国龙, 何丁龙, 张磊, 等. Camera Link Full至HD-SDI接口的高清传输显示系统[J]. 液晶与显示, 2016, 31(4):421-428.

LIANG

G L

, HE

D L

, ZHANG

, et al. High-definition transmission and display system for Camera Link Full to HD-SDI interface[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(4):421-428 (in Chinese).

Cited in this article [1]

[5]	刘卫华, 荆立雄, 王建生. FPGA最小系统的数字电源设计[J]. 无线互联科技, 2020, 17(7):78-79. LIU W H, JING L X, WANG J S. Digital power design of FPGA minimum system[J]. Wireless Internet Technology, 2020, 17(7):78-79 (in Chinese). Cited in this article [1]

[6]	孙偲晟. FPGA的SD/HD/3G-SDI的图像环路测试装置设计[J]. 单片机与嵌入式系统应用, 2019, 19(11):69-74. SUN S S. Design of image loop test device for SD/HD/3G-SDI based on FPGA[J]. Microcontrollers & Embedded Systems, 2019, 19(11):69-74 (in Chinese). Cited in this article [1]

[7]	王炜琛, 涂海洋, 王伟明, 等. 基于Zynq的SDI视频图像分割系统[J]. 计算机工程与科学, 2021, 43(10):1796-1802. WANG W C, TU H Y, WANG W M, et al. SDI video image segmentation system based on Zynq[J]. Computer Engineering and Science, 2021, 43(10):1796-1802 (in Chinese).

[8]	ZHONG J C, CHEN Y J, MIAN A. DualConv:dual convolutional kernels for lightweight deep neural networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(1):9528-9535. Cited in this article [1]

[9]	LEE J, PARK S, MO S, et al. Layer-adaptive sparsity for the magnitude-based pruning[EB]. 2020. Cited in this article [1]

[10]	徐龙. 基于FPGA的多运动目标检测跟踪系统设计与实现[D]. 南京: 南京信息工程大学, 2024. XU L. Design and implementation of multi-moving target detection and tracking system based on FPGA[D]. Nanjing: Nanjing University of Information Science and Technology, 2024 (in Chinese). Cited in this article [1]

[11]	汪磊. 基于FPGA的超高清内窥镜图像采集及增强算法实现[D]. 广州: 华南理工大学, 2021. WANG L. Implementation of ultra-high definition endoscopic image acquisition and enhancement algorithm based on FPGA[D]. Guangzhou: South China University of Technology, 2021 (in Chinese). Cited in this article [1]

[12]	宋梦欣. 基于FPGA的多路超高清摄像头控制器设计[D]. 上海: 华东师范大学, 2022. SONG M X. Design of multi-channel ultra-high definition camera controller based on FPGA[D]. Shanghai: East China Normal University, 2022 (in Chinese). Cited in this article [1]