摘要
介绍了GPS码信号的模型,以及实时白化和扩展卡尔曼滤波的工作原理.提出了一种改进的空时自适应处理算法,运用该算法能够使GPS接收机抑制射频干扰、精确跟踪并使捕获码信号的性能得到提高.射频干扰中含有宽带干扰和窄带干扰,窄带干扰用自回归过程来模拟并通过实时白化得到抑制,宽带干扰通过空间零陷得到抑制.空间零陷是通过估计一个采样的协方差矩阵,并把它求逆,然后输入卡尔曼滤波器来实现的.通过计算机仿真证实了在严重的干扰情况下该算法的鲁棒性,以及优于码跟踪环的性能.
A space-time adaptive processing algorithm for delay tracking and acquisition of GPS signal with interference rejection capability is developed. The interference consists of both broadband and nar- rowband. The narrowband interferences are modeled as vector autoregressive processes and rejected by temporal whitening. The spatial nulling is implicitly achieved by estimating a sample covariance matrix and feeding performance its inverse into the extended Kalman filter. Computer simulations demonstrate the capability of the algorithm during severe jamming.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2007年第4期332-335,共4页
Journal of Jiangsu University：Natural Science Edition
基金
江苏省高新技术项目(BG2004024GY2005006)
