一种基于追踪算法的干扰对消技术

无人机等小型平台上的雷达干扰机的收发隔离问题会严重影响其侦察与接收同时工作。假设真实耦合路径稀疏的环境下,基础的系统辨识最小方差无偏估计量算法在解决收发隔离问题时,对系统传递函数的辨识精度不够,隔离效果不够理想。针对此问题提出了一种基于系统辨识理论与稀疏理论相结合的追踪算法。该算法利用了干扰机接收天线与发射天线之间干扰耦合路径的稀疏性,可以对耦合路径实现精确辨识,并且算法的鲁棒性较好。理论分析和仿真结果表明:稀疏时不变的耦合环境下,该方法能够取得较理想的隔离度,可以很好地解决小型平台上雷达干扰机的收发隔离问题。

An Interference Cancellation Technique Based on Pursuit Algorithm

The problem of sending and receiving isolation of radar jammers on small platforms will seriously affect the detection and reception at the same time. Under the assumption that the real coupled path is sparse, the basic system identification minimum variance unbiased algorithm is not accurate enough to identify the system transfer function and the isolation effect is not ideal. A pursuit algorithm based on the combination of system identification theory and sparse theory is proposed. This algorithm makes use of the sparsity of the interference coupling path between the receiving antenna and the transmitting antenna of the jammer, which can realize accurate identification of the coupling path, and the algorithm is robust. Theoretical analysis and simulation results show that this method can achieve ideal isolation under the condition of sparse time-invariant coupling, and can solve the problem of sending and receiving isolation of radar jammers on small platforms.