A low complexity STPAP algorithm based on an alternating polarization-sensitive array

Abstract Background Space–time adaptive processing (STAP) has been widely used in the fields of communication, radar, and navigation anti-jamming. However, traditional scalar arrays with STAP have limitations because they can only obtain spatial information. To improve performance, joint space–time filtering is proposed using an alternating polarization-sensitive array (APSA). Compared to a dual-polarization sensitive (DPSA), this provide polarization information reduce computational complexity. Methods An (APSA-STPAP) algorithm based on linear constraint minimum variance (LCMV) criterion. Different from LCMV criterion, steering vector desired interference signals as matrix, “set 1” 0” conditions are effectively suppress enhance signals. Results Simulation results presented which show following. (1) Filtering APSA-STPAP similar that DPSA-STPAP algorithm. From perspective spatial, time, domains, it form nulls directions realize space–time-polarization processing. (2) The lower complexity than Moreover, dipole halved, reduces coupling effect between electric dipoles makes implementation easier. (3) maintains good anti-interference performance even when anti-jamming degrees freedom reduced by half, array. There little difference algorithms SNR ≥ − 10 dB.