Abstract：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.
王文益, 刘慎悦, 吴仁彪, 卢丹, 王璐, 贾琼琼. 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[J]. 电子与信息学报, 2018, 40(4): 898-904.
WANG Wenyi, LIU Shenyue, WU Renbiao, LU Dan, WANG Lu, JIA Qiongqiong. Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method. JEIT, 2018, 40(4): 898-904.
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