Title :
Analog error-correcting codes based on chaotic dynamical systems
Author :
Chen, Brian ; Wornell, Gregory W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
fDate :
7/1/1998 12:00:00 AM
Abstract :
The properties of chaotic dynamical systems make them useful for channel coding in a variety of practical communication applications. To illustrate this, a novel analog code based on tent map dynamics and having a fast decoding algorithm is developed for use on unknown, multiple, and time-varying signal-to-noise ratio (SNR) channels. This code is shown to be an attractive alternative to both digital codes and linear modulation in such scenarios. Several properties and interpretations of the codes are developed, along with some methods for their optimization
Keywords :
channel coding; chaos; decoding; error correction codes; fading; nonlinear dynamical systems; state-space methods; time-varying channels; analog error-correcting codes; broadcast channels; channel coding; chaotic dynamical systems; digital codes; fading; fast decoding algorithm; linear modulation; low delay communication; multiple channels; nonlinear state-space system; optimization; practical communication applications; signal-to-noise ratio; tent map dynamics; time-varying SNR channels; AWGN; Channel coding; Chaos; Chaotic communication; Decoding; Error correction codes; Fading; Modulation coding; Signal to noise ratio; Transmitters;
Journal_Title :
Communications, IEEE Transactions on