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)
Full text not available in this repository.Request a copyAbstract
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.
-
-
Item type: Conference or Workshop Item(Paper) ID code: 39510 Dates: DateEventOctober 2002PublishedSubjects: 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: 09 Apr 2024 05:13 URI: https://strathprints.strath.ac.uk/id/eprint/39510