On the Intelligent Components Geometry Design of a Current Reuse Folded Cascode Concurrent Dual-band CMOS LNA

In this paper, an optimized design procedure based on evolutionary algorithms for automatic synthesis of a current reuse folded cascode dual-band concurrent fully integrated lownoiseamplifiers (LNA) targeted to 802.16d @ 3.5GHz and 802.11b, g @ 2.4GHz standards is discussed. Algorithm isintended to compute the circuit elements geometry and bias levels capable of maintaining the best level of gain, input matching, output matching and power consumption. The genetic algorithm optimization engine is developed in MATLAB environment and performance evaluation in 0.18μm RF CMOSTSMC technology is ceded to HSPICE. Results indicate that the automated scheme well renders the desired circuit in anacceptable computation time, otherwise, either tremendous manual trial and errors or an astronomical cycles of exhaustive search is required.

Keywords:

Genetic algorithm , Concurrent dual-band LNA , Input/output matching , Low-noise amplifier