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dc.titleSource tracking with a gradient-based eigenstructure algorithm
dc.contributor.authorKo, C.C.
dc.identifier.citationKo, C.C. (2000). Source tracking with a gradient-based eigenstructure algorithm. IEEE Transactions on Aerospace and Electronic Systems 36 (3 PART 1) : 859-867. ScholarBank@NUS Repository.
dc.description.abstractA new gradient-based eigenstructure algorithm to locate and track the azimuth and elevation angles of unknown sources in a 3-dimensional environment is proposed and investigated. Starting from initial estimates of the source locations from, say, a coarse search of the multiple signal classification (MUSIC) spectrum, the algorithm obtains better estimates and tracks sources in a repetitive cyclical manner. To refine a particular source location estimate: 1) a preprocessor is designed to remove the effects of the other sources; 2) the eigenvector for the largest eigenvalue of the covariance matrix after preprocessing is found and its difference from the ideal value is determined; and finally 3) a gradient calculation is used to obtain an estimate for the difference of the assumed source location from the actual position. The advantages of using the proposed technique rather than performing a thorough MUSIC search in the 2-dimensional spectrum are: 1) the implementation complexity can be reduced considerably, and 2) the algorithm is well suited to be employed for continuous adaptive filtering purposes in a tracking scenario. © 2000 IEEE.
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEEE Transactions on Aerospace and Electronic Systems
dc.description.issue3 PART 1
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