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TitleUsing hidden markov modelling to detect wideband interference
Publication TypeConference Paper
Year of Publication2007
AuthorsCoulson, A.J.
Conference Name8th Australian Communication Theory Workshop, AusCTW 2007
Date Published2007
Keywordscomputer simulation, Detection performance, Hypothesis tests, Information theory, Likelihood ratio tests, Received signals, Signal detection, Wide-band, Wide-band interference
AbstractCognitive radios need to be able to detect multiple wideband interferers of unknown statistics from a single received sample vector. This paper establishes the received signal statistics to enable specification of the hypothesis test that must be evaluated to perform detection of such signals. Hidden Markov modelling is proposed for evaluation of the required likelihood ratio tests. Detection performance is established using computer simulation. It is concluded that detection of multiple wideband interferers under the assumed conditions should be performed with caution, depending on the desired application.
URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-66249121243&partnerID=40&md5=055dfa8fa1c3745a541fc8a8c762f698

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