Abstract
In this paper, research on the recent developments in the insights of ultra-wideband transceiver for wireless communication system based on code-shifted references is presented. There have been extensive studies carried out individually towards ultra-wideband (UWB) transceiver and security-based approaches. However, none of them have jointly studied securing the ultra-wideband transceiver performance of a communication system. The proposed study presented is a novel framework of ultra-wideband transceiver architecture that uses a digital code-shifted reference (DCSR) scheme and the security of the UWB transmission which is based on changing the physical properties of transmission and does not rely on higher-level security. Our goal is to find a solution to provide an additional level of security and hardware architecture for impulse radio ultra-wideband (IR-UWB) transmitter and non-coherent receiver systems using pulse modulation and decoding scheme for efficient communication performance. Recently, it has been proposed that physical characteristics of UWB signals can be used to improve the cryptographic security of the system. We consider both coherent and reference-based UWB schemes to enhance security and optimize the implementation for the impulse radio ultra-wideband (IR-UWB) system when an eavesdropper is observing communications over multipath channels between two legitimate partners who share a secret key of a limited length using novel digital code-shifted reference (DCSR). A deep survey on the schemes and security of UWB signals is presented in this research article, and thus, it serves as a ready reckoner for all the researchers who want to pursue their research in this exciting field of communications.
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The authors like to acknowledge the researchers of DSU & DSCE for all sorts of help rendered during the preparation of this article.
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Santosh Kumar, R., Narendra, R., Devaraju, R. (2022). Comprehension of Ultra-Wideband Transceiver for Wireless Communication System based on Code-Shifted Reference. In: Pandian, A.P., Fernando, X., Haoxiang, W. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-19-0898-9_17
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