2014 IEEE Military Communications Conference 2014
DOI: 10.1109/milcom.2014.132
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Average Likelihood Method for Classification of CDMA

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“…This work has been presented in MILCOM 2014. [5] The same development was slightly modified and applied to other types of CDMA generated from a combination of QPSK and BPSK symbols (Box E). A key approach was to represent complex models in terms of real block matrices and apply an approach similar to type 1 CDMA.…”
Section: Roadmapmentioning
confidence: 99%
“…This work has been presented in MILCOM 2014. [5] The same development was slightly modified and applied to other types of CDMA generated from a combination of QPSK and BPSK symbols (Box E). A key approach was to represent complex models in terms of real block matrices and apply an approach similar to type 1 CDMA.…”
Section: Roadmapmentioning
confidence: 99%
“…As we can see, there is a lack of decision theoretic methods for CDMA signals. In 2012, the same authors published a paper on the classification of CDMA signals based on its code length [5]. The approach consists on extracting cyclostationary features, i.e., peaks in the spectral correlation function, and then training a neural network.…”
Section: Introductionmentioning
confidence: 99%