Compressive Sensing over OFDM Systems
DOI:
https://doi.org/10.31642/JoKMC/2018/080104Keywords:
Compressive Sensing, wavelet, DWT, Fourier, OFDM, DCTAbstract
Communications development is the fastest-growing Nowadays, so the need and the constant demand for faster and more reliable communication methods have increased. Here, the compressive sensing appeared to meet this need. Compressive sensing is a new method of sampling that is not rendered to the Shannon-Nyquist law. In this thesis, we studied the effects of orthogonal (Fourier and wavelet) modulation with compressive sensing modeling on the characteristics of the signal that are used for medical and security applications. The compressed image performance has been tested in three ways and transmitted via the FFT-OFDM system and the DWT-OFDM system, under various baseband modulation schemes with the effect of white Gaussian noise. Then we compared the transmission performance via FFT-OFDM versus DWT-OFDM. From the simulation is observed that the wave-based OFDM system is better than the Fourier-based OFDM system Furthermore, the wavelets better than Fourier in the utilization of Bandwidth, Unlike FFT that allocates part of Bandwidth of the cyclic prefix (CP), and thus part of it is wasted.Downloads
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Hwang, Taewon and Yang, Chenyang and Wu, Gang and Li, Shaoqian and Li, Geoffrey Ye, "OFDM and its wireless applications: A survey," IEEE transactions on Vehicular Technology, vol. 58, no. 4, pp. 1673- -1694, 2008. DOI: https://doi.org/10.1109/TVT.2008.2004555
Dahlman, Erik and Parkvall, Stefan and Skold, Johan, 5G NR: The next generation wireless access technology, Academic Press, 2018.
Correia, Luis M, Mobile broadband multimedia networks: techniques, models and tools for 4G, Elsevier, 2010.
Hussain, Zahir M and Sadik, Amin Z and O’Shea, Peter, Digital signal processing: an introduction with MATLAB and applications, Springer Science & Business Media, 2013.
Abdullah, Khaizuran and Hussain, Zahir M and others, "Studies on dwt-ofdm and fft-ofdm systems," in IEEE International Conference on Communication, Computer and Power, 2009, pp. 15--18.
Abdullah, Khaizuran and Hussain, Zahir M, "Simulation of models and BER performances of DWT-OFDM versus FFT-OFDM," Discrete Wavelet Transforms-Algorithms and Applications, 2011. DOI: https://doi.org/10.5772/20260
Parveen, Nagma and Abdullah, Khaizuran and Islam, Rafiqul and Boby, Rounakul Islam, "Diversity Technique Using Discrete Wavelet Transform In OFDM System," Int. J. Eng. Adv. Technol., vol. 8, no. 2S2, pp. 284- -287, 2019.
Bodhe, Rohit and Narkhede, Satish and Joshi, Shirish, "Design of Simulink Model for OFDM and Comparison of FFT-OFDM and DWT-OFDM," International Journal of Engineering Science and Technology, vol. 4, no. 5, pp. 1914- -1924, 2012.
Naveen, H and Sreerama Reddy, GM, "Performance Analysis of FFT based OFDM and DWT based OFDM for Underwater Acoustic Communication," Indian Journal of Science and Technology, vol. 10, no. 36, 2017. DOI: https://doi.org/10.17485/ijst/2017/v10i36/119183
Van Phong, Dinh and Linh-Trung, Nguyen and Tan, Tran Duc and Le, Ha Vu and Do, Minh N, "Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing," in 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, IEEE, 2011, pp. 85--88. DOI: https://doi.org/10.1109/ISBI.2011.5872360
Candès, Emmanuel J and Romberg, Justin and Tao, Terence, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequencyinformation," IEEE Transactions on information theory, vol. 52, pp. 489--509, 2006. DOI: https://doi.org/10.1109/TIT.2005.862083
Donoho, David L, "Compressed sensing," IEEE Transactions on information theory, vol. 52, pp. 1289--1306, 2006. DOI: https://doi.org/10.1109/TIT.2006.871582
Singh, Harjeetpal and Sharma, Sakhi, "Hybrid image compression using DWT, DCT & Huffman encoding techniques," International Journal of Emerging Technology and Advanced Engineering, vol. 2, pp. 2250--2459, 2012.
Ahmed, Nasir and Natarajan, T_ and Rao, Kamisetty R, "Discrete cosine transform," IEEE transactions on Computers, vol. 100, no. 1, pp. 90--93, 1974. DOI: https://doi.org/10.1109/T-C.1974.223784
Bull, David R, Communicating pictures: A course in Image and Video Coding, Academic Press, 2014. DOI: https://doi.org/10.1016/B978-0-12-405906-1.00005-2
Deshlahra, Archana and Shirnewar, GS and Sahoo, AK, "A comparative study of DCT, DWT & hybrid (DCT-DWT) transform," 2013.
Vyas, Aparna and Yu, Soohwan and Paik, Joonki, "Wavelets and Wavelet Transform," in Multiscale transforms with application to image processing, Springer, 2018, pp. 45--92. DOI: https://doi.org/10.1007/978-981-10-7272-7_3
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Copyright (c) 2021 Zainab Hdeib Al-Shably, Zahir M. Hussain
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