Title :
Applications of nonlinear dynamics to the turbo decoding algorithm
Author :
Kocarev, L. ; Tasev, Z. ; Maggio, G.M.
Author_Institution :
Inst. for Nonlinear Sci., Univ. of California, La Jolla, CA, USA
Abstract :
In this paper, we treat the turbo decoding algorithm as a dynamical system parameterized by the SNR (signal-to-noise ratio). A whole range of nonlinear phenomena, including chaos and transient chaos, have been shown to occur in the turbo decoding algorithm. As an application, we develop an adaptive technique to control transient chaos, leading to an improvement of the BER (bit error rate) performance.
Keywords :
chaotic communication; decoding; error statistics; noise; nonlinear dynamical systems; transient analysis; turbo codes; BER performance; SNR parameterized dynamical system; adaptive transient chaos control technique; bit error rate; chaos; nonlinear dynamics applications; nonlinear phenomena; signal-to-noise ratio; transient chaos; turbo decoding algorithm; AWGN; Chaos; Chaotic communication; Convolutional codes; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Nonlinear equations; Parity check codes; Turbo codes;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205126
