• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

A Method for Zadoff-chu Sequence-based Signal Analyzation and Channel Estimation Against Commercial Drone Threats


Isaac Sim, Jin-woo Jeong, Jin-ha Hwang, Sang-bom Yun, Journal of Internet Computing and Services, Vol. 25, No. 6, pp. 99-105, Dec. 2024
10.7472/jksii.2024.25.6.99, Full Text:
Keywords: Commertial UAV, Frequency Hopping, channel estimation

Abstract

This paper presents a protocol analysis method for countering attacks based on commercial drones used primarily in modern warfare. It analyzes the Ocusync protocol used in drones by DJI, which holds over 90% of the commercial drone market, and describes the process of decoding signals received after analyzing the characteristics of the protocol versions. It presents the characteristics of the Zadoff-Chu sequences used for channel estimation in Ocusync and an algorithm for inferring the sequence parameters. It presents 3 channel estimation techniques in the decoding process and simulates the decoding performance and computational cost for each channel estimation. Through simulation, it shows the BER performance and computational resource requirements for each method, and based on this, it presents a system model suitable for each receiving environment. By presenting the system model in this paper, it provides a direction for countering modern warfare operations using commercial drones in terms of analyzing communication signals.


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Cite this article
[APA Style]
Sim, I., Jeong, J., Hwang, J., & Yun, S. (2024). A Method for Zadoff-chu Sequence-based Signal Analyzation and Channel Estimation Against Commercial Drone Threats. Journal of Internet Computing and Services, 25(6), 99-105. DOI: 10.7472/jksii.2024.25.6.99.

[IEEE Style]
I. Sim, J. Jeong, J. Hwang, S. Yun, "A Method for Zadoff-chu Sequence-based Signal Analyzation and Channel Estimation Against Commercial Drone Threats," Journal of Internet Computing and Services, vol. 25, no. 6, pp. 99-105, 2024. DOI: 10.7472/jksii.2024.25.6.99.

[ACM Style]
Isaac Sim, Jin-woo Jeong, Jin-ha Hwang, and Sang-bom Yun. 2024. A Method for Zadoff-chu Sequence-based Signal Analyzation and Channel Estimation Against Commercial Drone Threats. Journal of Internet Computing and Services, 25, 6, (2024), 99-105. DOI: 10.7472/jksii.2024.25.6.99.