【摘要】 针对日益严重的卫星信号多径干扰问题,提出一种有效的民航卫星导航干扰信号多径抑制算法,在多径干扰卫星信号数据模型基础上,通过空间平滑技术采用损失天线阵列孔径方法实现多径卫星信号的解相干处理,得到不同阵列子阵数据协方差矩阵;再采用豪斯霍尔德变换的广义旁瓣相消技术,根据广义旁瓣相消器输出的多径和噪声功率以及不同阵列子阵数据协方差矩阵,计算直达信号最佳权重矢量,采用低复杂度自适应度算法迭代计算最佳权重矢量,获取最终旁瓣相消器多径抑制后的直达卫星信号,实现民航卫星导航干扰信号的多径抑制。仿真结果表明,所提算法在任意载噪比环境下的码相位跟踪误差均较小,对民航卫星导航干扰信号的多径抑制性能较强;且算法多径抑制耗时短、民航卫星导航的定位精度高。更多还原

【Abstract】 For the increasingly serious problem about multi-path interference of satellite signal, an effective multi-path suppression algorithm for interference signals of civil aviation satellite navigation was proposed. Based on the data model of multi-path interference satellite signals, we used the spatial smoothing technology and loss antenna array aperture method to achieve the decoherence processing of multipath satellite signal, so as to get the covariance matrices of sub-arrays data in different arrays. Then, we used generalized sidelobe cancellation technique based on householder transformation to calculate the optimal weight vector of direct signal according to the output multipath and noise power of the generalized sidelobe canceller and the covariance matrix of the sub-array data of different arrays. Moreover, we used low complexity adaptive algorithm to iteratively calculate the optimal weight vector, and thus to find the final direct satellite signal suppressed by multiple paths. Thus, we achieved the multipath suppression of interference signals in civil aviation satellite navigation. Simulation results show that the proposed algorithm has low code phase tracking error, high performance, short time, and high positioning accuracy of civil aviation satellite navigation.更多还原