Paper
18 November 1993 Applying chaos to communication channel identification
Xinping Huang, Henry Leung
Author Affiliations +
Abstract
Channel identification is an important issue in communications in order to eliminate inter- symbol interference (ISI) and to overcome performance degradation due to fading channel or multipath propagation. A new method is proposed in this paper, which uses a chaotic sequence generated by a logistic map as a probe signal and estimate channel parameters according to dynamics of the chaotic sequence. The new method outperforms the technique where the least square (LS) method is used with a white Gaussian probe signal.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinping Huang and Henry Leung "Applying chaos to communication channel identification", Proc. SPIE 2038, Chaos in Communications, (18 November 1993); https://doi.org/10.1117/12.162675
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Chaos

Autoregressive models

Electronic filtering

Error analysis

Signal processing

Data modeling

Inspection

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