一种抑制GPS射频干扰的空频自适应处理算法
A Space-Frequency Adaptive Processing Algorithm for GPS Radio Frequency Interference Suppression
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摘要: 为了提高窄带干扰与期望卫星信号同向时的抑制性能,提出了一种新的空频自适应滤波算法。该算法首先利用频域实系数自适应滤波对信号进行预处理抑制窄带干扰,然后在频域直接对处理后的信号进行空频自适应处理抑制宽带干扰。算法在预处理时采用自适应滤波可有效减少期望卫星信号的损失以及SFAP导向矢量误差。仿真实验表明,相对于普通的空时及空频自适应处理算法,新算法有效地提高了输出信干噪比,在干扰与信号同向的情况下也能表现出优良的处理性能。Abstract: In order to improve the antena array processing performance under narrowband interferences illuminating from the satellite direction,a novel space-frequency adaptive processing(SFAP) algorithm was proposed.The received signal is preprocessed with adaptive filtering in the frequency domain to suppress the narrowband interferences,and then transmitted to the further SFAP directly to suppress wideband interferences.Using the adaptive filltering in the frequency domain,this strategy could effectively reduce the loss in satellite signals and the estimate error in SFAP.The simulational results show that compared with ordinary space-time or space-frequency adaptive processing,the output signal to interference plus noise ratio(SINR) is improved and maintains its supremacy when narrowband interferences illuminating from the direction of the desired signal.