论文分析研究了最陡下降恒模算法(SDCMA)在波束形成应用中收敛稳定性好和最小二乘恒模算法(LSCMA)收敛速度快的特点,将两种算法以新的方式相结合,吸收二者的优点,提出了一种基于预解扩判决反馈盲波束形成组合算法(SD-LSCMA)。通过和传统算法在相同环境下进行MATLAB仿真比较,结果表明,文中提出的算法具有更好的抗强多址干扰性能。 The thesis analyzes and studies the steepest descent constant modulus algorithm (SDCMA) which has good convergence stability and least square constant modulus (LSCMA) convergence speed in beamforming applications. The two algorithms are combined in a new way to absorb The advantages of both, a pre-despreading decision feedback blind beamforming combination algorithm (SD-LSCMA). Compared with the traditional algorithm in the same environment MATLAB simulation results show that the proposed algorithm has better anti-strong multi-address interference performance.