鲁棒约束恒模自适应波束形成算法

Robust Constrained CMA Adaptive Beamforming Algorithm

线性约束恒模算法能够有效克服恒模算法中存在的干扰捕获问题,但在信号方向向量存在偏差的情况下,其性能将会受到影响.针对上述问题,本文提出了鲁棒约束恒模自适应算法并对其性能进行了分析.该算法收敛速度快,抗扰动性强,对信号方向向量的偏差具有较强的鲁棒性,改善了系统的输出信干噪比.仿真实验表明,与线性约束恒模算法相比,鲁棒约束恒模算法具有很好的性能.

Linear constrained constant modulus algorithm （LC-CMA） is an effective solution to the problem of interference capture in constant modulus algorithm （CMA）.But its performance is known to degrade substantially in the presence of even slight mismatches between the actual and presumed signal steering vectors. In this paper, we propose a novel approach to robust adaptive beamforming and analyze its performance. Our robust constrained constant modulus algorithm offers faster convergence rate, provides excellent robustness against the signal steering vector mismatches and improves array output SINR consistently. Computer simulations show better performance of our proposed robust adaptive beamforming algorithm than that of linear constrained constant modulus algorithm.