A robust GPS space-time anti-jamming algorithm based on convex optimization

GPS space-time anti-jamming algorithms suffer from performance degradation in the presence of steering vector mismatch and covariance matrix estimation errors. We present a robust GPS space-time anti-jamming algorithm based on convex optimization. The algorithm reconstructs the noise pluse interference covariance matrix by Capon spectral estimation method and corrected the steering vector by convex optimization equations, finally gets the space-time filter weights, reduces the influence of array errors and steering vector mismatch. We analyze three aspects of algorithm performance which include space frequency response spectrum, mismatch cases and different number of snapshots. The simulation results show that the method can supress wideband interference and narrowband interference both well, has better signal to noise pluse interference ratio and is robust to steering vector errors.