Sparse sliding-window kernel recursive least-squares channel prediction for fast time-varying mimo systems

HIGHLIGHTS

• who: Xingxing Ai and colleagues from the ZTE Corporation, Algorithm Department, Wireless Product RandD Institute, Wireless Product Operation Division, Shenzhen, China Beijing University of Posts and Telecommunications, Beijing, China have published the research work: Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems, in the Journal: Sensors 2022, 22, 6248. of 10/06/2022
• what: This paper proposed a new KRLS (SSW-KRLS) algorithm where a candidate discard set is selected through correlation analysis between the mapping vectors in the Hilbert spaces of the new input sample and the . . .
  

   

  

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