Design of Neural Network based Fuzzy Logic Model for Target Identification
S. Mercy Shalinie · IETE Journal of Research · 2000
The main objective of this paper is to design an Artificial Neural Network algorithm, which is used to generate fuzzy rules and membership functions. The combination of the learned fuzzy rules and membership functions and the Neural network based fuzzy design technique significantly improves performance and reduces design time. The proposed method is used to extract characteristic features of aircraft targets from their radar signatures. The development of a passive radar target identification system has applications to military surveillance radar's and civilian air traffic control systems.