ON THE PROBABILITY OF ERROR FOR TRESHOLD BINARY-INPUT TERNARY-OUTPUT DISCRETE MEMORYLESS CHANNELS

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.