Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing

The power of Beidou satellite signals is very low, so it is vulnerable to interfering sources and in the presence of jamming. Therefore, a robust constrained inverse beamforming algorithm based on space-time adaptive processing is proposed, which can not only reduce the sidelobe level to suppress interference better, but also achieve the lower complexity, and then introducing the steering vector uncertainty set model into the algorithm to improve its stability. In the simulation, the proposed algorithm can be verified to have good beamforming capability and higher signal-to-interference noise ratio (SINR) improvement even in the case of low signal to noise ratio (SNR) and high interference to noise ratio (INR).