GA optimized fuzzy controlled DPLL using discrete energy separation algorithm

In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.