On the efficient implementation of sparse bayesian learning-based stap algorithms

HIGHLIGHTS

• who: Kun Liu et al. from the Xidian University, Xi'an, China have published the research: On the Efficient Implementation of Sparse Bayesian Learning-Based STAP Algorithms, in the Journal: (JOURNAL)
• what: In , an MSBL-STAP algorithm based on the iterative reweighed ℓ2,1 -norm (IRℓ2,1 -MSBL-STAP) was proposed, and the experiments showed that the algorithm had great convergence performance. The authors propose several efficient MSBL-STAP algorithms based on the G-S factorization for airborne radar in the case of uniformly spaced linear array (ULA) and a constant pulse repetition frequency . . .
  

   

  

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