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An Improved GPS Receiver Anti-jammer Algorithm Based on Space-time Adaptive Processing

机译:基于时空自适应处理的改进型GPS接收机抗干扰算法

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摘要

For the limited number of FIR filter taps, the frequency resolution and nulling of traditional space-time adaptive processor is poor. Traditional space-time adaptive processing algorithm can not suppress the Multiple narrowband jammer and the narrowband jammer which come from the same direction with the useful signal, because of part of useful signal is suppressed in the meantime. Meanwhile, as the amount of computation and storage capacity, the traditional space-time adaptive processing algorithm can not suppress fast varying jammer effectively. Focus on those problems, an improved GPS anti-jammer space-time adaptive processing method which combines multistage IIR notch filter with the power inversion algorithm based on multistage nested Wiener filter (MSNWF) is proposed. The narrow-band jammer can be suppressed by using IIR notch filter and the amount of computation and storage capacity of space-time adaptive processing algorithm can be reduced by using the MSNWF, then the processing speed can be increased. The narrow-band and broad-band jammer can be suppressed by using the new method in the fast changing scene. The new method is more conducive to the effective implementation of anti-jamming algorithm for actual system. The results of the computer simulation verity the efficiency of the proposed method.
机译:对于有限数量的FIR滤波器抽头,传统时空自适应处理器的频率分辨率和清零效果很差。传统的时空自适应处理算法不能同时抑制有用信号来自同一方向的多个窄带干扰信号和窄带干扰信号,因为同时抑制了部分有用信号。同时,传统的时空自适应处理算法由于运算量大,存储量大,不能有效抑制快速变化的干扰。针对这些问题,提出了一种改进的GPS抗干扰时空自适应处理方法,将多级IIR陷波滤波器与基于多级嵌套维纳滤波器(MSNWF)的功率反演算法相结合。通过使用IIR陷波滤波器可以抑制窄带干扰,并且通过使用MSNWF可以减少时空自适应处理算法的计算量和存储量,从而可以提高处理速度。通过在快速变化的场景中使用新方法,可以抑制窄带和宽带干扰。新方法更有利于实际系统的抗干扰算法的有效实现。计算机仿真结果验证了该方法的有效性。

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