子阵级和差及辅助波束联合自适应单脉冲方法

数字阵列雷达在每一个阵元后有一个接收通道,若采用全自适应处理,则计算复杂度高,难以满足实时性需求。因此,对于实际的系统往往要采用降维自适应阵列处理去解决以上问题。鉴于此,提出一种子阵级和差及辅助波束联合自适应单脉冲算法。该方法基于子阵降维情况下,利用子阵合成的高增益差波束以及若干子阵合成的指向若干副瓣干扰(SLJ)方向的辅助波束来对消主副瓣干扰。理论分析和仿真结果均表明,该方法不仅在有效抑制主副瓣干扰的同时保证了高精度的单脉冲测角能力,并且进行子阵降维处理解决了相控阵体制雷达阵元数繁多所带来的问题,便于工程实现。

Adaptive Monopulse Algorithm Based on Combining Sum-Difference and Auxiliary Beams for Anti-Jamming at Subarray Level

Digital array radar has a receiving channel on each element, then the computational complexity is high if general adaptive processing is used. Therefore, we need adaptive dimension-reduced processing. An adaptive monopulse algorithm based on combining sum-difference and auxiliary beams for anti-jamming at subarray level is presented in this paper. The key point of the new algorithm is that high gain difference beams are used to suppress the MLJ and forming auxiliary beams pointing to the directions of SLJs for suppressing the corresponding SLJs simultaneously. Theoretical analysis and simulation results show that the new algorithm can suppress the mainlobe jamming（MLJ） and sidelobe jamming（SLJ） while maintaining monopulse ratio undistorted. Meanwhile, the new algorithm successfully solves the problem resulted from nu- merous elements in phased array system.