Automatic evolution of signal separators using reconfigurable hardware

Authors:
Ricardo S. Zebulum;Adrian Stoica;Didier Keymeulen;M. I. Ferguson;Vu Duong;Xin Guo;Vatche Vorperian
Affiliations:
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Chromatech, Alameda, CA and Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA
Venue:
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Year:
2003

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Abstract

In this paper we describe the hardware evolution of analog circuits performing signal separation tasks using JPL's Stand-Alone Board-Level Evolvable System (SABLES). SABLES integrates a Field Programmable Transistor Array chip (FPTA-2) and a Digital Signal Processor (DSP) implementing the Evolutionary Platform (EP). The FPTA-2 is a second generation reconfigurable mixed signal array chip whose cells can be programmed at the transistor level. Its chip architecture consists of an 8×8 matrix of reconfigurable cells. The FPTA-2 is reconfigured by evolution to achieve circuits that can extract a target signal that is combined with an undesired component or to perform the separation of a combination of two signals. The paper considers also an adaptive filter where the fitness function depends on the input signal. The results demonstrate that SABLES is not only able to perform signal separation and extraction, but it is also flexible enough to adapt to different input signals without human intervention, such as in the case of self-tuning and adaptive filters.