Develops a nonlinear expectation theory-based energy detection model for cognitive radio with distributional uncertainty and bounded signal variety, deriving min/max detection error probabilities via double supremum.
SNR based detection and estimation of A WN ch annel parameters changes
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Energy Detection for Cognitive Radio with Distributional Uncertainty and Signal Variety under Nonlinear Expectation Theory
Develops a nonlinear expectation theory-based energy detection model for cognitive radio with distributional uncertainty and bounded signal variety, deriving min/max detection error probabilities via double supremum.