中文摘要：

针对传统的空时联合抗干扰技术在协方差矩阵求逆过程中计算量大,对处理器的要求高的缺点,提出了一种新的变步长最小均方误差（VSS-LMS）算法。改进算法采用两步迭代的方式进行阵列加权值的计算,在收敛的初始阶段,利用误差自相关值的双曲正切函数来调整步长,以达到快速收敛目的;收敛后期,则利用前一步长因子与误差自相关值的线性关系来调整步长,以保持较小的稳态误差。仿真表明,改进算法不仅能显著降低计算量,而且与经典的LMS算法相比,收敛速度和精度均得到明显提高;与传统的递归最小二乘算法（RLS）性能相近。充分说明了算法的有效性。

英文摘要：

In view of the disadvantages of large calculation and the high demand of the processor in the space-time joint anti-jamming technology process,an improved variable step size least mean square error algorithm was proposed in this paper. In the initial stages of convergence,we used the hyperbolic tangent function of error autocorrelation value to adjust the step size,in order to achieve rapid convergence; in the late stages of convergence,we used the factors of previous steps and error correlation values to adjust the step size,in order to maintain a small steady-state error. The simulation results show that the convergence speed and convergence accuracy of the improved algorithm are significantly improved compared with the classical LMS algorithm,and the improved algorithm performance is similar to the RLS algorithm. The effectiveness of the algorithm was demonstrated.