Multi-carrier communications based on generalized discrete fourier transform
Generalized Discrete Fourier Transform (GDFT) with non-linear phase is a complex valued, constant modulus orthogonal function set. GDFT can be effectively used in Orthogonal Frequency Division Multiplexing (OFDM) and Code Division Multiple Access (CDMA) communication systems. In this...
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sg-ntu-dr.10356-508802023-07-07T16:42:34Z Multi-carrier communications based on generalized discrete fourier transform Wang, Jian. Gong Yi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Generalized Discrete Fourier Transform (GDFT) with non-linear phase is a complex valued, constant modulus orthogonal function set. GDFT can be effectively used in Orthogonal Frequency Division Multiplexing (OFDM) and Code Division Multiple Access (CDMA) communication systems. In this report, the literature review is the prerequisite in understanding the whole project. It includes the Discrete Fourier Transform (DFT), the principles of CDMA, Walsh Code, Auto-correlation function and Cross-correlation function, Signal to Noise Ratio (SNR) and Bit Error Rate (BER). With the knowledge of those terms and applications, it’s easier in understanding the GDFT principles and specification. In addition, the results from the various research papers provided are constructive and supportive to the whole research for this project. As compared with Walsh Code or DFT, the researched results have shows the GDFT is the best solution in reduce inter carrier interference and inter-symbol interference. In addition, it presents that GDFT over DFT in improving BER performance in direct sequence CDMA as well, and the performance of GDFT in real-world communication scenarios will be investigated. Bachelor of Engineering 2012-12-13T07:03:19Z 2012-12-13T07:03:19Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50880 en Nanyang Technological University 71 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Wang, Jian. Multi-carrier communications based on generalized discrete fourier transform |
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Generalized Discrete Fourier Transform (GDFT) with non-linear phase is a complex valued, constant modulus orthogonal function set. GDFT can be effectively used in Orthogonal Frequency Division Multiplexing (OFDM) and Code Division Multiple Access (CDMA) communication systems.
In this report, the literature review is the prerequisite in understanding the whole project. It includes the Discrete Fourier Transform (DFT), the principles of CDMA, Walsh Code, Auto-correlation function and Cross-correlation function, Signal to Noise Ratio (SNR) and Bit Error Rate (BER). With the knowledge of those terms and applications, it’s easier in understanding the GDFT principles and specification. In addition, the results from the various research papers provided are constructive and supportive to the whole research for this project.
As compared with Walsh Code or DFT, the researched results have shows the GDFT is the best solution in reduce inter carrier interference and inter-symbol interference. In addition, it presents that GDFT over DFT in improving BER performance in direct sequence CDMA as well, and the performance of GDFT in real-world communication scenarios will be investigated. |
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Gong Yi |
author_facet |
Gong Yi Wang, Jian. |
format |
Final Year Project |
author |
Wang, Jian. |
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Wang, Jian. |
title |
Multi-carrier communications based on generalized discrete fourier transform |
title_short |
Multi-carrier communications based on generalized discrete fourier transform |
title_full |
Multi-carrier communications based on generalized discrete fourier transform |
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Multi-carrier communications based on generalized discrete fourier transform |
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Multi-carrier communications based on generalized discrete fourier transform |
title_sort |
multi-carrier communications based on generalized discrete fourier transform |
publishDate |
2012 |
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http://hdl.handle.net/10356/50880 |
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1772826944641957888 |