提出了一种改进的数字式波束形成的快速自适应算法,即具有严格约束最小功率的抽样矩阵梯度算法(CSMG),它综合了传统抽样矩阵梯度算法和具有严格约束的最小功率自适应算法的优点。计算机模拟表明,此算法波束方向随约束角度而变,自适应调零能力较强,收敛速度也较快。 An improved fast adaptive algorithm for digital beamforming is proposed, which is a sampling matrix gradient algorithm (CSMG) with strictly constrained minimum power. It combines the traditional sampling matrix gradient algorithm and the minimum power adaptive algorithm with strict constraint advantage. Computer simulation shows that the beam direction of this algorithm varies with the constraint angle, the adaptive zeroing ability is stronger and the convergence speed is faster.