PSO not been explored especially in classifying high frequency ultrasonic signals. Binary Particle Swarm Optimization approach is proposed to perform feature selection. Dimensionality of the dataset is reduced and classification performance has been improved. Population data is used as input to ANN that serves as an evaluator of PSO fitness function. This technique do not need prior knowledge of desired number of features to carry out experiments.