Leida xuebao (Jun 2022)
A Multiple Interference Suppression Algorithm Based on Airborne Bistatic Polarization Radar
Abstract
To solve the problem of the simultaneous suppression of main-lobe and side-lobe interferences, this study applies polarization information as input to the airborne bistatic radar and constructs an airborne bistatic polarization-sensitive array. The method is mainly realized by bistatic polarization hierarchical suppression. First, the reconstructed covariance matrix methods are used to suppress the side-lobe interference of the primary and auxiliary radars, Further, the data received by the airborne bistatic radar are aligned in the time domain, Finally, the main-lobe interference steering vector of the primary and auxiliary radars is corrected, and polarization cancellation is used to suppress the main-lobe interference. The simulation results show that the bistatic polarization classification method can simultaneously suppress multiple main-lobe and side-lobe interferences, and considerably improve the anti-interference capability of the radar system.
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