Optimizing Machine Learning Algorithms for Dynamic Direction Finding Conference

Willis, JM, Venkatakrishnan, SB, Volakis, JL. (2023). Optimizing Machine Learning Algorithms for Dynamic Direction Finding . 226-227. 10.23919/USNC-URSINRSM57470.2023.10043143

cited authors

  • Willis, JM; Venkatakrishnan, SB; Volakis, JL

abstract

  • We build, analyze, and compare six machine learning algorithms for direction-finding on dynamic systems. Each model is optimized to decrease its computational complexity to make quicker angle-of-arrival estimates and maintain accuracy. The extracted angle determination compares favorably in terms of accuracy and speed to the MUSIC algorithm, with some models exceeding its performance.

publication date

  • January 1, 2023

International Standard Book Number (ISBN) 13

start page

  • 226

end page

  • 227