Subspace Filtering Based Adaptive Beamforming Algorithm for MIMO Radars
Xinhong Meng, Bingnan Pei, Da‐Zheng Feng · 2023
In view of the decrease in the performance of the beamformer for MIMO radar resulting from mismatch of parameters, this paper proposes an adaptive beamforming algorithm based on robust subspace filtering: The beamformer is expressed as a linear combination of the expectation-guided vector and its orthogonal complement subspace; Moreover, such a constrained optimization problem is transformed into an unconstrained optimization problem. The TSVD regularization technology was applied to reduce the sensitivity of the beamforming algorithm to adaptation. The proposed algorithm significantly improved the robustness of the beam former. Simulation experiments with three mismatch cases showed that the proposed algorithm is more robust than the FA-Capon and Tikh algorithms. and signal-to-interference-to-noise ratio performance was close to the best theoretical performance.