基于旁瓣对消器的自适应零陷优化设计

现有的零陷展宽算法忽略了锥化矩阵的相位信息，在对抗强方向性、大偏差角干扰时，零陷深度变浅，干扰抑制性能严重下降。该文以虚拟空域密集干扰为切入点，推导并提出一种可用于旁瓣对消器的自适应零陷优化设计算法。该算法通过对辅助阵列数据的自协方差矩阵和主辅阵列数据的互协方差矩阵同时进行重构实现零陷区域的自适应控制，锥削矩阵只与阵元位置和展宽宽度有关，无需干扰信息，可以离线生成，不占用系统运算资源。仿真结果表明，该方法可以实现零陷区域的自适应展宽，提高非平稳干扰抑制的稳健性。

Adaptive Null Broadening Algorithm Based on Sidelobes Cancellation

In existing null broadening algorithm, the taper matrix does not contain phase information, and when it is used to against strong directional and large deviation angle interference, the null depth becomes shallow and the interference suppression performance drops seriously. An adaptive null broadening algorithm for sidelobe canceller is proposed based on dense disturbance in virtual airspace. The algorithm reconstructs the self-covariance matrix of the auxiliary array data and the co-covariance matrix of the main and auxiliary array data at the same time to realize the adaptive control of the null region. The taper matrix is only related to the position and width of the array elements, and it can be generated offline without disturbing information and occupying no computing resources of the system. The simulation results show that this method can achieve adaptive broadening of the null region and improve the robustness of non-stationary interference suppression.