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  4. Reduced complexity likelihood approximation for chaotic trajectory segments
 
conference paper

Reduced complexity likelihood approximation for chaotic trajectory segments

Schimming, T.  
2000
Proceedings of 2000 International Symposium on Nonlinear Theory and its Applications
International Symposium on Nonlinear Theory and its Applications 2000 (NOLTA 2000)

Recently, statistically optimal detection methods for communication schemes based on chaos have been developed. The decision criterion is based on the well-known maximum likelihood criterion. Unfortunately, the calculation of the likelihoods is of exponential complexity in the block length $N$. Thus, an efficient implementation of the optimal detector is impossible for large $N$. In this work we propose a reduction of the complexity of the likelihood computation from exponential to linear by eliminating insignificant terms in the exact likelihood formula. This is in fact equivalent to eliminating certain paths in the tree of all possible symbolic sequences for a given trajectory of length $N$. The result is a viterbi decoder like method which can efficiently decode chaos based communication schemes like chaos shift keying (CSK) for any block length $N$. The reduction of complexity results in only minor increase of the bit error rate, which is shown using simulation results.

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Type
conference paper
Author(s)
Schimming, T.  
Date Issued

2000

Published in
Proceedings of 2000 International Symposium on Nonlinear Theory and its Applications
Volume

1

Start page

389

End page

392

Subjects

chaos

•

Non-Linear Signal Processing

•

Communication & Chaos

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LANOS  
Event nameEvent place
International Symposium on Nonlinear Theory and its Applications 2000 (NOLTA 2000)

Dresden, Germany

Available on Infoscience
December 3, 2004
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183528
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