Implementation of miniaturized ACARS system based on FPGA

Authors

  • Chunlan Luo
  • Lecai Cai
  • Shiyong Yang

DOI:

https://doi.org/10.54097/jceim.v10i2.7875

Keywords:

ACARS, ADC, DDC, Signal processing element

Abstract

ACARS system is an aircraft communication addressing and reporting system, which plays an important role in the transmission of aircraft identity information. It is mainly used for radio communication between aircraft and ground base stations. The signal processing of the traditional ACARS system adopts two methods. One is to demodulate the baseband signal by analog method, and then decode the baseband signal by PC. This method will bring great cost and require more frequency conversion levels (frequency conversion times), resulting in complex circuits and difficult debugging. The other is to use ADC to sample the analog intermediate frequency signal and then directly process the digital intermediate frequency signal. This method leads to the large consumption of resources in the later processing unit, which brings great pressure to the processing capacity of the later digital signal processor. Digital down conversion (DDC) is a key technology in the field of communication detection. It reduces or removes the carrier frequency of the signal by spectrum shifting, and filters and extracts the signal by decimation filter to match the rate requirements of the subsequent receiver. DDC is widely used in software radio, ultra-wideband radar and other fields. The principle is that the input digital intermediate frequency signal passes through a mixer composed of two multipliers, and the digital control oscillator simultaneously generates two orthogonal local oscillator signals, which are multiplied to obtain Q and I signals respectively. Then, the digital baseband signal is output by decimation through the latter filter, which has the advantage of reducing the data rate.

References

MITOLA J. The software radio architecture[J/OL]. IEEE Communications Magazine, 1995, 33(5): 26-38. DOI:10.1109/35.393001.

Xu Wenbin. Application research of software radio technology in 5G mobile communication system [ J ]. China New Communications, 2020, 22 ( 11 ) : 22.

Dai.Research and implementation of software radio digital spectrum analysis technology based on SOPC [ D ].University of Electronic Science and Technology of China, 2019.

Chen, Qu, Li et al. [ 4 ].A processing method and implementation of radar digital IF receiver [ J / OL ].Journal of Radio Wave Science, 2014,29 ( 06 ) : 1212-1218. [5][]Yin

Zhaoyun. Design of software radio digital down conversion technology based on FPGA [D]. Guangdong University of Technology, 2015.

Wang Wei.Development of FPGA in the era of Internet of Things [ J ].Electronic technology application, 2017,43 ( 02 ) : 9.

Zhou Xiaole. Design and implementation of digital down conversion [D]. Xidian University, 2015.

Niu Wei.Application of Software Radio Technology in the Field of Mobile Communication Testing [ J / OL ].Electronic World, 2018 ( 11 ) : 169-170.

Research and FPGA implementation of wireless receiver channel digitization [ D ].University of Electronic Science and Technology of China, 2018.

Zhou Honghang.Research on digital signal processing technology in single-carrier high-speed optical communication system [D].Beijing University of Posts and Telecommunications, 2021.

Zhao Boya.Research on the design and implementation of hardware accelerator based on convolutional neural network [ D ].Harbin University of Technology, 2018.

Cao Xueyao.Research and design of Beidou positioning terminal based on FPGA [ D ].Changchun University of Technology, 2022.

Zhang Siyun.Design of H.264 decoding SOC for real-time video transmission system [ D ].Jilin University, 2020.

Zhang Xuecheng.Analyze the application of software radio technology in modern communication system [ J ].Wireless interconnection technology, 2014 ( 01 ) : 74.

Liu Jian. Design and implementation of AIS & ACARS IF digital receiver [ D ]. Harbin Engineering University, 2013.

Li Mu.Research on ACARS signal receiving technology based on software radio technology [ D ].Harbin University of Technology, 2015.

HAIFENG WANG, LU Y. A digital channelized receiver architecture with low calculation cost[C/OL]//2010 Second Pacific-Asia Conference on Circuits, Communications and System. Beijing, China: IEEE, 2010: 1-4. DOI: 10.1109/ PACCS. 2010.5627076.

XU Z W, MING S F, TONG L, et al. Model of Non-leaking-Alarms and Non-aliasing Channelized Digital Receiver [C/OL] // 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). Harbin, China: IEEE, 2016: 994-997. DOI: 10.1109 / IMCCC.2016.53.

XU S. Design and Implementation of Digital Channelized Receiver in Multi-FPGA[C/OL]//2009 First International Conference on Information Science and Engineering. Nanjing, China: IEEE, 2009: 178-181. DOI:10.1109/ICISE.2009.461.

TANG P, YUAN B, BAO Q, et al. Design and simulation of digital channelized receivers in fractional Fourier domain[J/OL]. Journal of Systems Engineering and Electronics, 2013, 24(1): 36-43. DOI:10.1109/JSEE.2013.00005.

LV C, LIN Y. One kind of channelized receiver structure applied to software radio platform[C/OL]//Proceedings of 2014 3rd Asia-Pacific Conference on Antennas and Propagation. Harbin, China: IEEE, 2014: 810-813. DOI: 10.1109 / APCAP.2014.6992622.

Li Cheng, Lu Yanfei, Lai Wei, et al. Design and practice of remote software radio open experimental platform [ J / OL]. Experimental technology and management, 2018,35 ( 02 ) : 103-107. DOI: 10.16791 / j.cnki.sjg.2018.02.025.

Wang Yan. Simulation study of digital IF chip [J]. Communication technology, 2020 (03 vo 53 ) : 776-780.

Peng Feng.Technical characteristics and application of software radio [ J / OL ].Electronic test, 2021 ( 06 ) : 71-72 + 126.DOI : 10.16520 / j.cnki.1000-8519.2021.06.03.

HALDORAI A, KANDASWAMY U. Software Radio Architecture: A Mathematical Perspective [M/OL] // HALDORAI A, KANDASWAMY U. Intelligent Spectrum Handovers in Cognitive Radio Networks. Cham: Springer International Publishing, 2019: 65-86. DOI: 10.1007 / 978-3-030-15416-5_4.

GAO J. Analysis of Military Application of Software Radio Communication Technology[J/OL]. MATEC Web of Conferences, 2019, 267: 02017. DOI: 10.1051 / matecconf / 201926702017.

RAZA A, ULANSKY V. Through-Life Maintenance Cost of Digital Avionics[J/OL]. Applied Sciences, 2021, 11(2): 715. DOI:10.3390/app11020715.

Wang Minjie, Wen Ronghui, Chen Yujun. Research on anti-interference performance of MSK demodulation method based on ACARS data link [J / OL].Modern Information Technology, 2020,4 ( 06 ) : 61-64 + 68. DOI: 10.19850 / j.cnki.2096-4706.2020.06.021.

SMITH M, MOSER D, STROHMEIER M, et al. Undermining Privacy in the Aircraft Communications Addressing and Reporting System (ACARS)[J/OL]. Proceedings on Privacy Enhancing Technologies, 2018, 2018(3): 105-122. DOI:10.1515/popets-2018-0023.

KITAORI J. A performance comparison between VDL mode 2 and VHF ACARS by protocol simulator[C/OL]//2009 IEEE/AIAA 28th Digital Avionics Systems Conference. Orlando, FL, USA: IEEE, 2009: 4.B.3-1-4.B.3-8. DOI:10.1109/DASC.2009.5347498.

SMITH M, MOSER D, STROHMEIER M, et al. Economy Class Crypto: Exploring Weak Cipher Usage in Avionic Communications via ACARS[M/OL]//KIAYIAS A. Financial Cryptography and Data Security: Vol. 10322. Cham: Springer International Publishing, 2017: 285-301. DOI:10.1007/978-3-319-70972-7_15.

HAN P, HUI H, LU X, et al. A Research and Implementation on Real Time Tracking for Abnormal Flight using ACARS[C/OL]//2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). London: IEEE, 2018: 1-6. DOI:10.1109/DASC.2018.8569830.

Zhao Jun, Tang Yidi.Research on civil aviation engine condition monitoring based on ACARS data [ J ].Computer simulation, 2020, 37(08): 49-52.

LIN L, LIU J, GUO H, et al. Sample adaptive aero-engine gas-path performance prognostic model modeling method[J/OL]. Knowledge-Based Systems, 2021, 224: 107072. DOI: 10.1016 / j.knosys.2021.107072.

XU H, XIAO K, PAN J, et al. Evidence of aircraft activity impact on local air quality: A study in the context of uncommon airport operation[J/OL]. Journal of Environmental Sciences, 2023, 125: 603-615. DOI: 10.1016 / j.jes.2022.02.039.

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Published

23-04-2023

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Articles

How to Cite

Luo, C., Cai, L., & Yang, S. (2023). Implementation of miniaturized ACARS system based on FPGA. Journal of Computing and Electronic Information Management, 10(2), 41-44. https://doi.org/10.54097/jceim.v10i2.7875