Abstract
OFDM is one of widely used multicarrier transmission schemes for wireless and mobile networking applications. In this article the structure of adaptive FFT is designed in VLSI environment. In traditional FFT, more number of computations are involved to determine the frequency response of the signal. In order to overcome this problem, parallel architecture in the models of Fast Fourier Transform (FFT) like single path radix-2 with delay feedback (SR2DF) FFT and multipath radix-2 with delay commutator (MR2DC) FFT were proposed. Both have different advantages in terms of VLSI concerns (area, delay, power). In this paper propose a novel FFT architecture which adaptively switch to the required FFT structure such as R2SDF and R2MDC based on the SNR values for high speed and low power applications.
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References
Si, J., Huang, H., Li, Z., Hao, B., Gao, R.: Performance analysis of adaptive modulation in cognitive relay network with cooperative spectrum sensing. IEEE Trans. Commun. 62(7), 2198–2211 (2014)
Swartzlander, E.E., Yu, S.: A new pipelined implementation of the Fast Fourier Transform. In: IEEE Trans. Circ. Syst. (2010)
Lee, H., Shin, M.: A high-speed low-complexity two-parallel radix-2FFT/IFFT Processor for UWB applications. In: IEEE Asian Solid-State Circuits Conference (2010)
Arik, S.O., Askarov, D., Kahn, J.M.: Adaptive frequency-domain equalization in mode-division multiplexing systems. J. Comput. Eng. Res. (IJCER) 3(4), 186–189 (2013)
Chen, S.G., Huang, S.J., Garrido, M., Jou, S.J.: Continuous-flow parallel bit-reversal circuit for MDF and MDC FFT architectures. IEE Trans. Circ. Syst. I: Regul. Pap. 61(10), 2869–2877 (2014)
Rajeswari, L.M., Manocha, S.K.: Design of data adaptive IFFT/FFT block for OFDM system. In: IEEE Conference on 2011 (2011)
Yu, C., Yen, M.H., Hsiung, P.A., Chen, S.J.: A low-power 64-point pipeline FFT/IFFT processor for OFDM applications. IEEE Trans. Consum. Electron. 57(1), 40–45 (2011)
Arik, S.O., Askarov, D., Kahn, J.M.: Adaptive frequency-domain equalization in mode-division multiplexing systems. J. Lightwave Technol. 32(10), 1841–1852 (2014)
Salehi, A., Amirfattahi, R., Parhi, K.K.: Pipelined architectures for real-valued FFT and hermitian-symmetric IFFT with real data paths. IEEE Trans. Circ. Syst. (2013)
Cheng, C., Parhi, K.: High-throughput VLSI architecture for FFT computation. IEEE Trans. Circ. Syst. II Express Briefs 54(10), 863–867 (2007)
Grass, E., Maharatna, K., Jagdhold, U.: A 64-point Fourier transform chip for high-speed wireless LAN application using OFDM. IEEE J. Solid-State Circ. 39(3) (2009)
Sanchez-Macián, A., Reviriego, P., Maestro, J.A.: Enhanced detection of double and triple adjacent errors in hamming codes through selective bit placement. IEEE Trans. Device Mater. Reliab. 12(2), 357–362 (2012)
Lin, Y.T., Tsai, P.Y., Chiueh, T.D.: Low-power variable-length fast Fourier transform processor. IEEE Proc.-Comput. Digit. Tech. 152(4) (2012)
Lee, C.-Y., Chent, Y., Lint, Y.-W.: A block scaling FFT/IFFT Processor for WiMAX application. In: IEEE Conference on transactions Consumer Electronics (2011)
Yu, C., Liao, Y.-T., Yen, M.-H., Hsiung, P.-A.: A novel low-power 64-point pipelined FFT/IFFT Processor for OFDM applications. In: IEEE International Conference on Consumer Electronics (2012)
Ramesh, G.P., Soysa, N.: A Body Area Network through Wireless Technology (2014). arXiv:1409.1981
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Manimaran, A., Thomas, A.K. (2020). A Novel FFT Architecture for an Efficient Utilization of OFDM Using Adaptive FFT Method. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_15
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DOI: https://doi.org/10.1007/978-3-030-32644-9_15
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