Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm

This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPAA is created and verified for compliance with transistorlevel simulations of the FPAA. Using this model, different filter structures are built using an active-RC approach and evaluated. Secondly, a robust genetic algorithm is implemented in Matlab, which allows synthesis of analog filters on the given structure. Optimal parameters and operators of the genetic algorithm are identified by gradual adaptation and performance evaluation, and the general feasibility is shown. Finally, the GA is used to overcome quantizationlimitations of the FPAA structure and find configurations of filters, which would not have been achievable with traditional synthesis methods. The system is not only a platform for theoretical investigation of filter structures on the given chip structure but also provides a framework fo...

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Joachim Becker, Stanis Trendelenburg, Fabian Henrici, Yiannos Manoli
• Keywords: GECCO 2007, Genetic Algorithm, Robust Genetic Algorithm, filter Structures