基于稳健协方差矩阵的ADS-B压制式干扰抑制

压制式干扰是广播式自动相关监视(automatic dependent surveillance broadcast, ADS-B)系统面临的最常见且最有威胁的干扰之一。提出基于稳健协方差矩阵估计的ADS-B压制式干扰抑制算法。首先,考虑了ADS-B信号的脉冲特性,将协方差矩阵的求解转化成凸优化问题。然后,利用求解凸优化问题得到的稳健协方差矩阵设计最优权矢量。最后,对观测信号进行空域滤波,完成ADS-B的压制式干扰抑制,并对抑制结果进行性能分析。提供的仿真实验结果也验证了算法的有效性,该方法不需要知道ADS-B信号来向,且在非高斯噪声情况下同样有效。

Barrage jamming suppression for ADS-B based on robust covariance matrix

Barrage jamming is the one of most common and serious threats for automatic dependent surveillance-broadcast (ADS-B) system. A barrage jamming suppression algorithm for ADS-B based on estimation of robust covariance matrix is proposed. Firstly, considering the pulse characteristic of ADS-B, the solution of covariance matrix is transformed into a convex optimization problem. Then, the robust covariance matrix obtained by solving the convex optimization is used to design the optimal weight vector. Finally, the barrage jamming is mitigated by spatial filtering and the performance is analyzed. Simulation results demonstrate the effectiveness of the proposed algorithm. The anti-jamming performance of this method is not limited by the prior knowledge of ADS-B direction and also effective in the case of non-Gaussian noise.