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Performance Analysis Methods for Non-Coherent Differential Chaos-Shift-Keying Systems

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Part of the book series: Signals and Communication Technology ((SCT))

Abstract

Coherent systems such as the chaos-shift-keying (CSK) system studied in the previous chapter are theoretically better than their non-coherent counterparts in terms of performance in additive white Gaussian noise (AWGN) channels. However, as practical techniques for robust chaos synchronization are not yet available for the required signal-to-noise conditions, the requirement of the receivers to reproduce replicas of chaotic carriers remains a major technical barrier to the practical implementation of coherent systems. Without the need for chaos synchronization, non-coherent systems therefore represent more practical forms of systems, despite their less favorable performance. In this chapter we focus on non-coherent chaos-based communication systems. In general, non-coherent detection can take a variety of forms, but its basic principle is to make use of some distinguishable properties of the transmitted signals, which can be some generic deterministic properties (e.g., return-map based detection [Tse et al. (2001)] and maximum-likelihood method [Kisel et al. (2001)]), or fabricated by a suitable bit arrangement (e.g., differential CSK (DCSK) [Kolumbán et al. (1996)]). In particular, we investigate in depth in this chapter, using the discrete-time baseband model described in Sect. 2.6, the DCSK system under single-user and multi-user environments. Broadly we may classify the implementation of multiple access into two types, namely, time-delay-based [Kolumbán et al. (1997c); Kennedy et al. (1998)] and permutation-based [Lau et al. (2002a)] implementations. In this chapter we present the analysis and performance evaluation of these two types of multiple access as applied to DCSK systems.

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References

  1. Note that the frame configuration described here is a particular example from a multitude of possible configurations. For a given number of users, the frame configuration can be optimized so as to minimize the size of buffers required in the transmitters and receivers.

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  2. System performance can be simulated using the empirical system model without making simplifying assumptions of the chaotic maps or the forms of the various mean, variance and co-variance terms. Simulations performed in this way can be considered as “brute-force” simulations, and they provide true system performance for comparison and verification purposes. See also p. 52.

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  3. The permutation matrix is defined as a square matrix whose elements are either “0” or “1”, with each row and column containing exactly one “1” [Stewart (1998)].

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© 2003 Springer-Verlag Berlin Heidelberg

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Lau, F.C.M., Tse, C.K. (2003). Performance Analysis Methods for Non-Coherent Differential Chaos-Shift-Keying Systems. In: Chaos-Based Digital Communication Systems. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05183-2_4

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  • DOI: https://doi.org/10.1007/978-3-662-05183-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05616-1

  • Online ISBN: 978-3-662-05183-2

  • eBook Packages: Springer Book Archive

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