Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas
{"title":"Predictive Demodulation for Chaotic Communications","authors":"Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas","doi":"arxiv-2409.06630","DOIUrl":null,"url":null,"abstract":"Chaotic signals offer promising characteristics for wireless communications\ndue to their wideband nature, low cross-correlation, and sensitivity to initial\nconditions. Although classical chaotic modulation schemes like Chaos Shift\nKeying (CSK) can theoretically match the performance of traditional modulation\ntechniques (i.e., bit error rate), practical challenges, such as the difficulty\nin generating accurate signal replicas at the receiver, limit their\neffectiveness. Besides, chaotic signals are often considered unpredictable\ndespite their deterministic nature. In this paper, we challenge this view by\nintroducing a novel modulation scheme for chaotic communications that leverages\nthe deterministic behavior of chaotic signals. The proposed approach eliminates\nthe need for synchronized replicas of transmitted waveforms at the receiver.\nMoreover, to enhance noise robustness, we employ M-ary Frequency Shift Keying\n(FSK) modulation on the chaotic samples. Experimental results show that the\nproposed scheme significantly outperforms CSK when perfect replicas are\nunavailable, with the best performance achieved for low-order modulations, and\nresulting in minimal delay increase.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Chaotic signals offer promising characteristics for wireless communications
due to their wideband nature, low cross-correlation, and sensitivity to initial
conditions. Although classical chaotic modulation schemes like Chaos Shift
Keying (CSK) can theoretically match the performance of traditional modulation
techniques (i.e., bit error rate), practical challenges, such as the difficulty
in generating accurate signal replicas at the receiver, limit their
effectiveness. Besides, chaotic signals are often considered unpredictable
despite their deterministic nature. In this paper, we challenge this view by
introducing a novel modulation scheme for chaotic communications that leverages
the deterministic behavior of chaotic signals. The proposed approach eliminates
the need for synchronized replicas of transmitted waveforms at the receiver.
Moreover, to enhance noise robustness, we employ M-ary Frequency Shift Keying
(FSK) modulation on the chaotic samples. Experimental results show that the
proposed scheme significantly outperforms CSK when perfect replicas are
unavailable, with the best performance achieved for low-order modulations, and
resulting in minimal delay increase.