Off-grid doa estimation using sparse bayesian learning for mimo radar under impulsive noise

HIGHLIGHTS

  • who: Jitong Ma and colleagues from the College of Information Science and Technology, Dalian Maritime University, Dalian, China have published the article: Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise, in the Journal: Sensors 2022, 22, 6268. of /2022/
  • what: The authors propose a novel off-grid DOA estimation method using sparse Bayesian learning for MIMO radar in impulsive noise. The authors compare the method with the three latest methods, mainly including nuclear norm minimization (NUC-NORM) , iterative reweighted proximal projection (IRPP) , robust variational Bayesian inference (RVSBL) and multiple . . .

     

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