Please use this identifier to cite or link to this item:
|Title:||Source tracking with a gradient-based eigenstructure algorithm|
|Citation:||Ko, 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.|
|Abstract:||A 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.|
|Source Title:||IEEE Transactions on Aerospace and Electronic Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 28, 2018
WEB OF SCIENCETM
checked on Apr 24, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.