基于Kalman滤波的GPS/INS接收机自适应干扰抑制方法

 考虑到惯导信息辅助GPS(GPS/INS)接收机对干扰抑制实时性的要求,提出一种基于Kalman滤波的GPS/INS接收机自适应干扰抑制方法。自适应广义旁瓣相消(GSC)多采用低复杂度最小均方(LMS)算法更新权矢量,收敛速率较低,严重时会导致接收机定位中断。首先利用Householder变换构建GSC下支路的阻塞矩阵,用于阻塞任意二维阵型阵列接收的期望信号;再用Kalman滤波自适应更新下支路权矢量,从而有效提高阵列输出信干噪比(SINR)。理论分析和仿真结果说明本文方法可有效抑制干扰对接收机的影响,且具有实时性高的特点。

Adaptive Interference Suppression Method Based on Kalman Filter in GPS/INS Receiver

Considering the real-time requirement of interference suppression in INS-assisted GPS (GPS/INS) receiver, a novel adaptive interference suppression approach for the GPS/INS receiver is presented based on the Kalman filter.An adaptive generalized sidelobe canceller (GSC) always employs the least-mean-square (LMS) algorithm for weight adaptation due to the lower complexity, but its convergence rate is lower and even make the receiver interrupt in severe cases. First, Householder transformation is employed for the design of the blocking matrix of the GSC, which can block desired signal received by an arbitrary planar array type. Then, update the adaptive weight on the low path by the Kalman filter, which exhibits great advantage for the output signal-to-interference-noise ratio (SINR). Theoretical analysis and simulation results demonstrate that the proposed method can effectively suppress the impact of interference on the receiver,and improve real-time characteristics of interference mitigation.