Genetic algorithm based maximum likelihood DOA estimation

M. Li, Y. Lu

Research output: Contribution to conferencePaper

23 Citations (Scopus)

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.
Original languageEnglish
Pages502-506
Number of pages5
DOIs
Publication statusPublished - Oct 2002
EventRADAR 2002 Conference - Edinburgh, United Kingdom
Duration: 15 Oct 200217 Oct 2002

Conference

ConferenceRADAR 2002 Conference
CountryUnited Kingdom
CityEdinburgh
Period15/10/0217/10/02

Keywords

  • DOA estimation
  • maximum likelihood
  • direction-of-arrival

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