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

Abstract

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.