Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64804
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSamoon Rowther Mohamed Mubeen
dc.date.accessioned2015-06-04T06:00:29Z
dc.date.available2015-06-04T06:00:29Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/64804
dc.description.abstractVarious Directions of Arrival (DOA) estimation techniques are presented to estimate the directions of arrival of sources. Most super-resolution algorithms require to know the number of sources present in the scenario for accurate DOA estimation. In this work, we present a new DOA estimation algorithm which provides distinct source direction peaks with unknown number of sources. The working principle, as will be discussed in this work, is similar to that of the Minimum-Norm algorithm. With unknown number of sources, the performance of Minimum-Norm-like algorithm asymptotically approaches that of the Minimum-Norm algorithm. With the working principle similar to that of the Minimum-Norm algorithm, the presented algorithm is expected to have better capability to resolve closely situated sources than the Maximum Entropy (ME) approach. With the optimization problem solved only once, the computational cost of this Minimum-Norm-like algorithm is significantly reduced compared to the recently proposed MUSIC-like algorithm.en_US
dc.format.extent48 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleNoise reduction approach for DOA estimationen_US
dc.typeThesis
dc.contributor.supervisorNg Boon Pohen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
SAMOON_ROWTHER_MOHAMED_MUBEEN_2014.pdf
  Restricted Access
2.53 MBAdobe PDFView/Open

Page view(s)

331
Updated on Jul 20, 2024

Download(s)

6
Updated on Jul 20, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.