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Joint demodulation of low-entropy narrow band cochannel signals

Reception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. The low-entropy properties of a particular signal of interest, the Automatic Identifi- cation System (AIS), are presented. Prediction methods are developed for this signal to be used as a priori information for a joint field-based maximum a posteriori (MAP) detector. Advanced joint detection techniques to mitigate cochannel interference are found to have superior bit error rate (BER) performance than can be obtained compared to traditional methods.

Identiferoai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2478
Date12 1900
CreatorsMeehan, Timothy J.
ContributorsNaval Postgraduate School (U.S.)., Department of Electrical and Computer Engineering
PublisherMonterey, California. Naval Postgraduate School
Source SetsNaval Postgraduate School
Detected LanguageEnglish
TypeThesis
Formatxxiv 180 p. : col ill. ;, application/pdf
RightsApproved for public release, distribution unlimited

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