Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2512
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBhuyan, S-
dc.contributor.authorDeshmukh, S-
dc.date.accessioned2016-07-04T06:22:29Z-
dc.date.available2016-07-04T06:22:29Z-
dc.date.issued2016-06-
dc.identifier.citationInternational Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 12-15 Jun 2016en_US
dc.identifier.urihttp://hdl.handle.net/2080/2512-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractIn this paper, we consider Generalized Gaussian (GG) distribution to model the additive noise source in underwater acoustic (UWA) communication. Since communication in oceanic medium is dominated by both prevailing and spontaneous noise sources, we model the resultant noise distribution as mixture of GG distribution. Owing to the complexity in optimal detector design with GG noise model, we apply expectation maximization (EM) algorithm to decompose the resultant channel distribution in terms of weighted sum of Gaussian density functions. By having multiple antennas at the receiver, we also exploit spatial diversity to improve error performance at the receiver. In this context, we compute decision boundary for detecting the binary phase shift keying (BPSK) modulated signal. In addition, we also discuss variation in decision boundary under various signal to noise ratio (SNR) levels observed at receiverfront end. Finally, we compare the detector performance under new decision boundary with traditional detectors and validate the approach by showing improvement in symbol error rate performance.en_US
dc.publisherIEEEen_US
dc.subjectUnderwater Acoustic Communicationen_US
dc.subjectGeneralized Gaussian Statisticsen_US
dc.subjectExpectation Maximization Algorithmen_US
dc.subjectDetector Designen_US
dc.titleDecision Boundary for Underwater Acoustic Communication with Generalized Gaussian Noise Modelen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2016_SPCOM_SBhuyan.pdf201.93 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.