Li, M. and Lu, Y. (2002) Genetic algorithm based maximum likelihood DOA estimation. In: RADAR 2002 Conference, 2002-10-15 - 2002-10-17, Edinburgh.
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Conference or Workshop Item (Paper) |
|---|---|
| ID code: | 39510 |
| Keywords: | DOA estimation , maximum likelihood , direction-of-arrival, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 03 May 2012 15:42 |
| Last modified: | 04 Oct 2012 17:23 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/39510 |
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