The probability of error in FSO communication system using Differential Chaos Shift Keying
| Autor: | Hemani Kaushal, Swaran Ahuja, Mona Aggarwal, Ghanishtha Narang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Cost effectiveness
Computer science business.industry 010102 general mathematics Chaotic Chaos shift keying 020206 networking & telecommunications 02 engineering and technology Communications system 01 natural sciences Directivity 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless Radio frequency 0101 mathematics Electrical and Electronic Engineering business Leakage (electronics) |
| Zdroj: | Physical Communication. 34:220-226 |
| ISSN: | 1874-4907 |
| DOI: | 10.1016/j.phycom.2019.03.014 |
| Popis: | In present-day communication system, Free Space Optical (FSO) communication is in demand due to its various advantages such as large bandwidth, high capacity, license-free spectrum, high directivity, low power consumption, cost effectiveness, etc. The basic concern for any communication system is its privacy and security. Although FSO communication is more secure as compared to conventional radio frequency (RF) systems, there are still chances of leakage of information. Here, chaotic signals are used in order to ensure the guaranteed reception only by the intended-receiver and not by any other external agent. In this manuscript, Differential Chaos Shift Keying (DCSK) in FSO system taking Gamma–Gamma turbulence model is studied as it is easy to implement and one of the robust techniques for wireless multipath channels. The system performance is analyzed using probability of error as a metric for various link lengths, spreading factor and turbulence condition. It is observed that an increase in spreading factor results in increase of average signal-to-noise ratio (SNR) for same link length, probability of error and turbulence conditions. Therefore we have to compromise between high SNR and security for DCSK based FSO communication system. |
| Databáze: | OpenAIRE |
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