关键词: 鲁棒自适应波束形成算法, 信干噪比, 最小二乘恒模算法, 方向向量偏差, 泰勒级数部分展开

Abstract: During the actual communication practice, the performance of linearly constrained least squares constant modulus algorithm (LC-LSCMA) will deteriorate acutely due to signal steering vector mismatches. A novel approach, i.e., the robust constrained LSCMA, is therefore proposed the way the recursion formula of weight vector is deduced under the condition that the modulus involving mismatched directional vector is constrained and the condition is included in the cost function so as to improve the robustness of LSCMA. Besides, the complexity of computation can be reduced by introducing the recursive algorithm to compute the inverse matrix. The robust constrained LSCMA provides a high robustness against signal steering vector mismatches, thus enabling the SINR of array output to approximate to its optimal value. Simulation results show that the performance of the proposed algorithm is superior to the conventional algorithm and more adaptable to the actual complex communication.