On the Probability of Error for Treshold Binary-input Ternary-output Discrete Memoryless Channels
Year: 2024
Type: conference-paper
Abstract: In this paper we derive the probability of error for binary-input ternary-output discrete memoryless channels (2,3 DMC).We analyse how the performance of the threshold device is determined by the choice of decision points and signal amplitude in the presence of Additive Gaussian White Noise (AWGN).We investigated the trade-off between the probability of false alarm and probability of correct detection by considering symmetric decision threshold around the zero decision thresholds.We considered the underwater acoustic wireless sensor networks where sensor nodes are limited in power, computational capacities and memory.We focused on the (2, 3) DMC by maximizing the detection and estimation of received signal by exploiting stochastic resonance effect.
Authors: Daniel Gebremicheal, Paul Cotae
Institution: University of the District of Columbia
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funder: U.S. Department of Defense
OpenAlex ID: W4405638323