一种线性约束连续自适应方向图控制方法

针对任意阵列天线的自适应空域滤波和低副瓣控制的问题，提出了一种连续自适应方向图控制方法。该方法通过采用线性约束最小方差准则的方向图综合算法( LCMV-PS)产生具有低副瓣特性的静态权矢量，利用该权矢量构造出新的约束条件，进行线性约束最小均方误差( LMS )自适应波束形成。该方法避免了常规的线性约束最小方差( LCMV)算法的矩阵求逆运算，计算复杂度低。对几种天线阵形的计算机仿真结果表明该方法收敛速度快，稳态性能良好。

A linearly constrained sample-by-sample adaptive pattern control method

For adaptive spatial filtering and low-sidelobe level controlling for arbitrary array,a sample-by-sample adaptive pattern control method is proposed. By adopting Linearly Constrained Minimum Variance Pattern Synthesis( LCMV-PS) ,the method achieves a static weight vector,which has the property of low-sidelobe level. The weight vector is used to construct a new constraint,and based on linearly constrained Least Mean Square( LMS) the optimal weight vector of adaptive beamforming is obtained. The method a-voids the inverse of the sample covariance matrix, thus enjoying lower computational complexity. Simula-tions for several kinds of antenna structure demonstrate that the method has a fast convergent rate and better performance than other sample-by-sample pattern control methods.