Robust Anti-interference Strategy with Null Broadening in the UCA

When the jammer or receiving platform moves with high dynamics, the traditional anti-interference strategy based on space-time adaptive processing (STAP) cannot effectively solve the mismatch between null and interference. A null broadening strategy based on STAP is proposed to solve this conundrum, which can be applied to a uniform circular array (UCA) of the global navigation satellite system (GNSS). First, the high dynamic signal model is rebuilt by adding virtual interferences according to the motion law. Then, the taper matrix is constructed based on the model to broaden the null, which avoids the mismatch problem. Finally, the beamforming filter is specially designed to calculate the weight for navigation satellite signals. Experimental results demonstrate that the proposed strategy can broaden multiple nulls and successfully acquire GNSS signals due to interference elimination. The output performance of proposed strategy is superior to Gauss and Laplace strategies.