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A Polarization Anti-jamming Algorithm Based on Space-Frequency Constraints

机译:一种基于空频约束的极化抗干扰算法

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Polarization sensitive array (PSA) is an array system composed of polarization sensitive elements which consist of electromagnetic vector sensor. Compared with the conventional array, the PSA not only can obtain the spatial information of the signal, but also can perceive the polarization state information of the signal. As a result the anti-jamming processing in the polarization domain can increase the anti-jamming degree of freedom, as well as improve the anti-jamming performance. Based on the PSA, this paper extends the existing spatial and polarization domain filtering model to the spatial, spectral and polarization domain for wideband signal processing. A polarization anti-jamming algorithm based on space-frequency constraint is proposed. The algorithm transforms the received signal into the frequency domain, constraining the polarization domain and spatial domain on every frequency bin of interest with polarization-spatial domain steering vector by the linearly constrained minimum variance (LCMV) criterion. While suppressing the interferences, the processing loss of the desired signal can be reduced, enhancing the anti-jamming ability. The simulation results show that the proposed algorithm can effectively suppress the interference and fully validates the effectiveness of the proposed algorithm. The algorithm can be widely used in satellite navigation anti-jamming receiver, significantly improving the availability and sensitivity of the receiver in a complex environment.
机译:极化敏感阵列(PSA)是由极化敏感元件组成的阵列系统,这些元件由电磁矢量传感器组成。与传统阵列相比,PSA不仅可以获得信号的空间信息,而且可以感知信号的偏振态信息。结果,在极化域中的抗干扰处理可以增加抗干扰的自由度,并且提高抗干扰性能。基于PSA,本文将现有的空间和极化域滤波模型扩展到用于宽带信号处理的空间,频谱和极化域。提出了一种基于空频约束的极化抗干扰算法。该算法将接收到的信号转换到频域,并通过线性约束最小方差(LCMV)准则用极化空间域导引矢量来约束每个目标频点上的极化域和空间域。在抑制干扰的同时,可以减少所需信号的处理损失,从而增强了抗干扰能力。仿真结果表明,该算法能够有效抑制干扰,充分验证了算法的有效性。该算法可广泛应用于卫星导航抗干扰接收机中,大大提高了接收机在复杂环境中的可用性和灵敏度。

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