基于最小色散方法的广播式自动相关监视压制式干扰抑制

压制式干扰是广播式自动相关监视(ADS-B)系统面临的最常见且最有威胁的干扰之一。该文将最小色散算法应用到ADS-B信号压制式干扰抑制的研究中。首先，利用ADS-B信号的脉冲特性，将以往只考虑二阶统计量的形式扩展，重新建立p范数约束优化模型。然后，提取观测信号更低阶统计量中的有用信息，将解算最优加权矢量转化为一个最优化问题。最后，解算最优权矢量，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。文中提供的仿真实验结果验证了算法的有效性，该方法不需要知道ADS-B信号来向，也无需估计协方差矩阵。

Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method

Jamming is the one of most common and serious threats for Automatic Dependent Surveillance- Broadcast (ADS-B) system. Minimum dispersion method is applied to jamming suppression for ADS-B in this paper. Firstly, based on the pulse characteristic of ADS-B, minimum dispersion method is obtained by solving the constrained optimization issue of p-norm, which expands the case that exploits only the second-order statistics of the array output in past. Then, the useful information in lower order statistics is used to convert the solution of optimal weight vector into an optimization problem. Finally, 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 the covariance matrix estimation.