Abstract:

Polarization filtering methods can effectively combat radar anti-mainlobe interference to a certain extent, but they also impose high demands on system architecture. In response to this cost contradiction, a new array polarization filtering method based on the differences in polarization spatial characteristics of elements in a single-polarization is proposed. Starting from the mechanism of differences, this method utilizes the active element patterns to solve the polarized beam synthesis model, obtaining multiple polarized beams simultaneously. By decomposing the received signals from multiple beams into orthogonal polarizations and estimating interference polarization parameters, interference suppression polarization filtering is achieved. Simulation experiments are conducted based on measured pattern data from an antenna array in the anechoic chamber, and the results indicate that for targets and interference signals with overlapping directions of arrival, effective interference suppression can be achieved if their polarization states exhibit a certain level of difference. This method demonstrates significant cost-effectiveness advantages and provides new insights for upgrading and transforming single-polarization array radar systems.

Key words: polarization filtering, anti-mainlobe interference, active element pattern (AEP), polarized pattern synthesis