Random matrix theory-based reduced-dimension space-time adaptive processing under finite training samples

HIGHLIGHTS

  • who: Di Song and colleagues from the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China have published the research work: Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite Training Samples, in the Journal: (JOURNAL)
  • what: Meanwhile, the authors provide 3 of 20 the estimate on the scaled factor of the scaled identity matrix according to the eigenvalues of the RD SCM. In the area of RMT, this model has acquired extensive study on its statistical behaviors and the consistent estimation theory has been established on . . .

     

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