摘要
针对基于FROST阵列处理的最小均方算法(FROSR-least mean squares,FLMS)收敛速度较慢的缺点,将FLMS算法和变步长技术相结合,采用了一种基于Sigmoid函数的变步长快速自适应算法(variable step-size FROSR-least mean squares,VFLMS)。将该算法应用于GPS接收机空时自适应处理系统中,理论分析和计算机仿真表明,VFLMS算法能够抑制大于阵元个数的多个宽、窄带干扰,效果理想。
Aimed at the disadvantage of slow convergence rate in least mean square （LMS） algorithm based on FORST array processing algorithm （FROSR-least mean squares, FLMS） , a fast variable step size adaptive algorithm （variable step-size FROSR-least mean squares, VFLMS） based on a new Sigmoid function is presented combining FLMS algorithm with variable step size technique. The algorithm is applied in GPS space time antijamming system. The academic analysis and the compute simulation indicate that the number of wideband and narrowband jam suppressed by VFLMS algorithm is restrained more than that of array antenna and the effect is perfect
出处
《现代防御技术》
北大核心
2011年第5期51-54,共4页
Modern Defence Technology
关键词
抗干扰
空时自适应
FLMS算法
变步长
antijamming
space-time adapt processing （STAP）
FROSR-least mean squares（FLMS） algorithm
variable step-size
