A GA-Based Optimization for Fourth-Order Sallen-Key Low-Pass Filter

Teoh Yeong Yeap and Neoh Siew Chin
School of Microelectronic Engineering, Universiti Malaysia Perlis (UniMAP)


In order to optimize and simulate the design variables for a Fourth-order Sallen-Key low-pass filter, a genetic algorithm (GA) based optimization approach is proposed in this paper. The Fourth-order Sallen-Key low-pass filter design is synthesized using LTSpice whereas the GA model is developed by Matlab. The aims of the design include gain maximization, passband ripple minimization, and cut-off satisfaction. From the results obtained, the desired filter design that satisfies the specification constraints and required goals is produced.