中国民航大学学报 ›› 2019, Vol. 37 ›› Issue (5): 1-4.

• 民用航空 •    下一篇

基于FPGA+DSP的ADS-B欺骗干扰检测优化#br#

胡铁乔,李恒昶
  

  1. (中国民航大学天津市智能信号与图像处理重点实验室,天津300300)
  • 出版日期:2019-10-25 发布日期:2020-04-01
  • 作者简介:胡铁乔(1970—),男,河南洛阳人,副教授,硕士,研究方向为基于FPGA、DSP的阵列信号处理.
  • 基金资助:
    中央高校基本科研业务费专项(3122016A003)

Optimization and implementation of ADS-B spoofing attack detection based on FPGA+DSP#br#

HU Tieqiao, LI Hengchang#br#   

  1. (Intelligent Signal and Image Processing Key Lab of Tianjin, CAUC, Tianjin 300300, China)
  • Online:2019-10-25 Published:2020-04-01

摘要: 为解决广播自动相关监视(ADS-B)系统中欺骗干扰的问题,结合现场可编辑门阵列(FPGA)和数字信号处理器(DSP)的工作特点,对基于空间相关的ADS-B 欺骗干扰检测方法进行优化。针对原算法中阵列信号协方差矩阵的计算、矩阵分解求取特征向量与特征值的复杂过程,将其优化为计算阵列中不同通道信号之间的相位差,进而求取导向矢量。结果表明,该算法在硬件平台上运行正常,计算复杂度降低,实现后的实时系统可有效识别真实飞机与虚假飞机。

关键词: ADS-B, 欺骗干扰, FPGA, DSP, 目标识别

Abstract: In order to solve the problem of spoofing attack in ADS-B system, an ADS-B spoofing attack detection method based on spatial correlation is optimized according to the working characteristics of FPGA and DSP. Aiming at the complex process of covariance matrix calculation as well as eigen vectors and eigen values acquisition using matrix decomposition, the original algorithm is optimized by calculating the phase differences between signals of different channels in array to obtain the steering vector. The optimized algorithm reduces the calculation complexity and becomes more suitable for implementation on the platform of FPGA and DSP. Results show that the algorithm works well on the hardware platform and the real-time system can effectively identify real aircraft from ghost.

Key words: ADS-B, spoofing attack, FPGA, DSP, target identification

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