基于延迟矢量跟踪环的变步长LMS空时滤波算法

Variable Step LMS Spatial Temporal Adaptive Processing Algorithm Based On Delay Vector Tracking Loop

为了克服空时联合抗干扰技术计算复杂度高、收敛速度慢、稳健性差的缺点,该文提出一种基于延迟矢量跟踪环VDLL的变步长LMS空时滤波算法——VD-ILMS算法。其中,VDLL通过粗捕获码的特殊结构为空时滤波提供参考信息;然后利用改进的变步长LMS算法压制干扰,增强卫星信号;最后,抑制掉干扰的导航信号用于VDLL跟踪,解算出伪距。仿真结果表明,改进的方法能够在降低计算量的同时有效地提高收敛速度,增强接收机的在强干扰环境下的稳健性,从而在一定程度上改善导航接收机的性能。

In order to overcome the disadvantages of the spatial temporal adaptive processing（STAP） technology,which including the high complexity,the slow convergence speed and the week robustness. The variable step least mean square（LMS） spatial temporal adaptive processing algorithm based on delay vector tracking loop（VDLL） VD-ILMS is proposed in this paper. The VDLL is used to supply reference information relying on the unique structure of the coarse/acquisition code for spatial temporal adaptive processing. Then an improved variable step LMS is proposed for enhancing satellite signals and suppressing interferences. Finally,the navigation signal without interference is used for VDLL tracking and calculating satellite pseudoranges. Simulation results show that the improved method can not only effectively improve the convergence speed ,but also ensure the reliability of the receiver in the presence of intense interference. At the same time,VD-ILMS algorithm can improve the anti-jamming capability of the navigation receiver to some degree.