Design method for a wideband non-uniformly spaced linear array using the modified reinforcement learning algorithm

HIGHLIGHTS

  • who: SeYoung Kang and collaborators from the Department of Computer Science and Engineering, Korea University, Seoul, Korea have published the paper: Design Method for a Wideband Non-Uniformly Spaced Linear Array Using the Modified Reinforcement Learning Algorithm, in the Journal: Sensors 2022, 22, 5456. of /2022/
  • what: Although there have been several heuristic optimization studies applied for antenna array, the works are focused on narrowband NUSLA. The authors propose a novel algorithm based on reinforcement learning (RL) to optimize the spacing and weights of a wideband NUSLA. In contrast, the authors propose a novel cost . . .

     

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