Title :
Weak signal detection by small-perturbation control of chaotic orbits
Author :
Glenn, C.M. ; Hayes, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
We have developed a method of detecting extremely weak signals using fundamental principles of chaotic dynamics. We calculate the time-dependent coupling of the disturbance signal to the stable and unstable manifolds of the system and derive a relationship between the disturbance and the error on the Poincare surface of section, thus relating the disturbance signal to the perturbations needed to control a periodic orbit. We demonstrate the algorithm in a computer model of a chaotic system and discuss its implementation in high-frequency devices.
Keywords :
chaos; microwaves; signal detection; chaotic dynamics; chaotic orbits; computer model; high-frequency devices; small-perturbation control; time-dependent coupling; weak signal detection; Chaos; Computer errors; Control systems; Error correction; Laboratories; Milling machines; Orbital calculations; Orbits; Powders; Signal detection;
Conference_Titel :
Microwave Symposium Digest, 1996., IEEE MTT-S International
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-3246-6
DOI :
10.1109/MWSYM.1996.512314