一种基于干扰重构的自适应干扰对消算法

从干扰信号的波束域和时域特征入手,建立了基于四阶累积量联合对角化的干扰估计模型,提出了联合干扰重构和自适应对消的主瓣干扰抑制算法,给出了处理流程和工程应用条件,分析了干扰重构的相对误差,对信噪比损失性能进行了仿真分析,同时评估了对测角性能的影响。仿真结果表明,在干噪比大于40 dB、干扰与目标夹角大于1/8 波束宽度的条件下,该算法可有效抑制主瓣干扰,其重构的干扰信号与真实干扰信号相对误差小于2% ,干扰抑制后目标回波信噪比损失小于3 dB,测角精度恶化小于波束宽度的1/30。

An Adaptive Mainlobe Jam Cancellation Algorithm Based on Jam Reconstruction

According to the feature of jam signal in the beam domain and the time domain, the model of estimation on the jam signal is built based on the joint diagonalization of four order cumulants. The mainlobe jam suppression algorithm of joint jam reconstruction and adaptive cancellation is proposed. The flow of processing and the conditions of application in practice are explained. The relative error is analyzed between the reconstruction jam signal and the true jam signal. The signal-noise-ratio loss performance and the angle measurement precision loss are simulated and analyzed. It shows that when the signal-noise-ratio is greater than 40 dB and the include angle of jam and target is greater than one eighth of the beam width, the algorithm can effectively suppress the mainlobe jam, the relative error between the reconstruction jam signal and the ture jam signal is less than 2% , and the signal noise-ratio loss is less than 3 dB, and the deterioration of the angle measurement precision is less than one thirtieth of the beam width.