中文摘要：

为了消除脉冲干扰信号对未来宽带航空数据链系统接收的影响，提出一种脉冲干扰抑制方法。该方法基于压缩感知理论．利用脉冲干扰信号的块稀疏特性以及航空数据链OFDM系统空子载波不传输调制符号的特性，获取观测信号矢量，采用块稀疏贝叶斯学习算法和最大期望估计法，给出稀疏脉冲信号统计参数的学习规则，最后重构出脉冲干扰信号并消除。仿真实验表明，该方法可有效地估计出脉冲干扰信号位置与幅度，干扰消除后系统的误比特性能得到显著改善。

英文摘要：

In order to mitigate the deleterious impact of impulse interference signal on receiving reliability of the future broadband aeronautical data link communication system, an impulse interference cancellation method based on compressed sensing （CS）theory is proposed. The block-sparse characteristic of impulse signal in broadband aeronautical data link OFDM system is considered and the fact that the virtual sub-carriers in system don＇t carry modulated symbol is also utilized to obtain measurement vector in the method. Block-sparse Bayesian learning algorithm and the expectation maximum estimation method are used to derive the statistic parameters learning rules of impulse signal. And impulse signal is recovered and removed at last. Simulation results demonstrate that the location and amplitude of impulse signal can be estimated effectively using the proposed method and the BER performance of OFDM system is approved significantly after interference cancellation.