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Reference-Modulated PI-DCSK: A New Efficient Chaotic Permutation Index Modulation Scheme

Haipin Chen, Pingping Chen, Shao Hao Wang, Songlin Lai, Riqing Chen

2022IEEE Transactions on Vehicular Technology20 citationsDOI

Abstract

In this paper, we propose a reference-modulated permutation index differential chaos shift keying (RM-PI-DCSK) over multipath fading channels. Due to quasi-orthogonal property between different permutated chaotic signals, the proposed scheme can remarkably suppress the inter-sequence interference to recover the desired information. Moreover, the proposed RM-PI-DCSK has one more modulation bit in the reference segment than the conventional permutation index differential chaos shift keying (PI-DCSK). Both the reference signal in the first time-slot and a permuted replica of the reference in the second time-slot are modulated for efficient transmission. The theoretical bit-error-rate (BER) performance and the highly consistent simulation results demonstrate that the proposed RM-PI-DCSK can achieve a performance gain 3 dB over the conventional PI-DCSK at a BER of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$10^{-4}$</tex-math></inline-formula> , and this gain becomes larger in a high-delay-spread channel. In particular, the performance superiority of the RM-PI-DCSK is further demonstrated in a typical ultra-wideband (UWB) channel with narrow-band interference. Therefore, this proposed scheme can be deemed as an efficient transmission alternative for chaotic-based wireless communications, such as in wireless local area network (WLAN) applications and indoor applications of the transmitted-reference UWB.

Topics & Concepts

Bit error rateTransmission (telecommunications)Modulation (music)Multipath propagationComputer scienceAlgorithmChannel (broadcasting)Permutation (music)DemodulationChaoticElectronic engineeringTopology (electrical circuits)Interference (communication)KeyingMathematicsTelecommunicationsPhysicsEngineeringAcousticsArtificial intelligenceCombinatoricsRadar Systems and Signal ProcessingPAPR reduction in OFDMChaos-based Image/Signal Encryption
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