Performance investigation of differential frequency hopping

Differential frequency hopping (DFH) is not like traditional frequency hopping (FH) because the frequency transfer function (FTF) is combined with sending information. The current hop frequency is not only decided on past hopping frequency, but also the current input is related to it. Though the con...

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Main Author: Han, Le
Other Authors: Li Kwok Hung
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/154236
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spelling sg-ntu-dr.10356-1542362023-07-04T16:20:22Z Performance investigation of differential frequency hopping Han, Le Li Kwok Hung School of Electrical and Electronic Engineering EKHLI@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Differential frequency hopping (DFH) is not like traditional frequency hopping (FH) because the frequency transfer function (FTF) is combined with sending information. The current hop frequency is not only decided on past hopping frequency, but also the current input is related to it. Though the consideration of FTF makes it more complex, the hopping rate is faster than that of an FH system, thereby having better anti-jamming ability compared with a conventional FH system. To investigate the performance of the DFH system, the basic knowledge of the FH system is necessary and binary frequency-shift-keying (BFSK) modulation is also important to understand the DFH system. In addition, convolutional coding and the Viterbi algorithm are core technologies for DFH systems. The process of coding and its trellis diagram will be discussed in this report. Moreover, the comparison of bit error rate (BER) simulations of FH systems and DFH systems is discussed in this report. Besides simulations in additive white Gaussian noise (AWGN) channels, partial-band noise jamming (PBNJ) is also included in the simulations. Finally, the impact of different convolutional encoders and the number of frequencies in DFH is simulated in the report. Keywords: Differential frequency hopping, frequency transfer function, convolutional coding, partial-band noise jamming. Master of Science (Communications Engineering) 2021-12-20T02:16:05Z 2021-12-20T02:16:05Z 2021 Thesis-Master by Coursework Han, L. (2021). Performance investigation of differential frequency hopping. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154236 https://hdl.handle.net/10356/154236 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Han, Le
Performance investigation of differential frequency hopping
description Differential frequency hopping (DFH) is not like traditional frequency hopping (FH) because the frequency transfer function (FTF) is combined with sending information. The current hop frequency is not only decided on past hopping frequency, but also the current input is related to it. Though the consideration of FTF makes it more complex, the hopping rate is faster than that of an FH system, thereby having better anti-jamming ability compared with a conventional FH system. To investigate the performance of the DFH system, the basic knowledge of the FH system is necessary and binary frequency-shift-keying (BFSK) modulation is also important to understand the DFH system. In addition, convolutional coding and the Viterbi algorithm are core technologies for DFH systems. The process of coding and its trellis diagram will be discussed in this report. Moreover, the comparison of bit error rate (BER) simulations of FH systems and DFH systems is discussed in this report. Besides simulations in additive white Gaussian noise (AWGN) channels, partial-band noise jamming (PBNJ) is also included in the simulations. Finally, the impact of different convolutional encoders and the number of frequencies in DFH is simulated in the report. Keywords: Differential frequency hopping, frequency transfer function, convolutional coding, partial-band noise jamming.
author2 Li Kwok Hung
author_facet Li Kwok Hung
Han, Le
format Thesis-Master by Coursework
author Han, Le
author_sort Han, Le
title Performance investigation of differential frequency hopping
title_short Performance investigation of differential frequency hopping
title_full Performance investigation of differential frequency hopping
title_fullStr Performance investigation of differential frequency hopping
title_full_unstemmed Performance investigation of differential frequency hopping
title_sort performance investigation of differential frequency hopping
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/154236
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