基于幅相线性约束的自适应和差波束形成方法研究

Approach of Adaptive Sum and Difference Beamforming Based on Magnitude and Phase Linear Constraint

阵列雷达自适应和差波束单脉冲测角面临信号对消、训练样本有限、波束保形及零点约束困难等问题.针对上述问题,本文提出基于幅相线性约束的自适应和差波束形成方法.该方法通过增加对主瓣临近角度的幅相线性约束条件,有效的克服和波束信号对消的现象;通过引入相位约束条件,使得差波束的在主瓣方向逼近静态差波束,具有良好的稳健性.同时通过合理的设计幅相约束条件实现了单脉冲和差波束测角二维解耦合.仿真实验验证了本文方法的有效性.

Adaptive sum and difference beampattem of array radar encounters some problems, such as signal cancellation, fi- nite sample suPtx~,beam-pattem maintaining and zero-point constraint and so on. In this paper, an adaptive sum and difference beamforming approach based on magnitude and phase response linear constraint is proposed. In this method, magnitude and phase response constraints on several other directions are set and these directions are around that of the assumed signal. This robust beam- forming approach effectively overcomes the signal cancellation problem and shows considerable improvement in signal-to-interfer- ence-plus-noise ratio （SINR）. Through imposing these constraints on both magnitude and phase responses, the sum and difference beamformers are drawing up to the standard static beamformers at the region of the main beam. This approach is robust against sig- nal presence in training data. And through properly setting the magnitude and phase constraints, we can implement azimuth and ele- vation uncoupling in monopulse angle estimation. Simulation examples demonstrate the effectiveness of the proposed method.