Robust Adaptive Beamforming with Null Broadening Based on Projection Transformation and Constraint Matrix Reconstruction

This paper proposes two null broadening methods based on projective transformation and constraint matrix reconstruction. The algorithm overcomes the problem that the null broadening performance of PDNBB and LCSS is affected by the diagonal loading value, and is robust to the selection of the diagonal loading value. Compared with other algorithms, it has the deepest null and better interference suppression performance.