Genetic algorithm based maximum likelihood DOA estimation

Li, M. and Lu, Y. (2002) Genetic algorithm based maximum likelihood DOA estimation. In: RADAR 2002 Conference, 2002-10-15 - 2002-10-17. (https://doi.org/10.1109/RADAR.2002.1174766)

Abstract

The maximum likelihood (ML) direction-of-arrival (DOA) estimation method was one of the first to be investigated. For a long time, the complexity and computational load of maximizing the multivariable, highly nonlinear likelihood function prevented it from popular. We present the genetic algorithm (GA) for computing exact solutions to the likelihood function with almost guarantee of global convergence. The performance of GA-based ML and multiple signal classification (MUSIC) algorithm have been compared for a variety of scenarios of SNR, DOA separation, number of snapshots, and computational cost. The relationship between the ML technique and MUSIC is also investigated.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	39510
  Dates:	Date Event October 2002 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	03 May 2012 14:42
  Last modified:	11 Nov 2024 16:20
  URI:	https://strathprints.strath.ac.uk/id/eprint/39510