Abstract
In this work, a novel evolutionary optimisation algorithm is introduced for the design of broadband matching networks connecting a resistive source generator and a complex inductive load. Impedance matching networks are the key for full transfer of power to the load. They should offer matching over the entire frequency concerned band. A low noise amplifier (LNA) is also optimised to attain the target gain and noise figure specifications over a definite bandwidth, throughout lumped LC elements. Cuckoo search optimisation algorithm (CSOA) is inspired by the life of a bird family, called cuckoo, offers excellent results with simple tuning parameters compared to previous conventional and meta-heuristic optimisation algorithms. It is extremely powerful in solving engineering optimisation problems. Simulation results for broadband impedance matching networks are presented and analysed and the optimised matching network improves well the performances of the circuit.
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