Journal of System Simulation
Abstract
Abstract: The picket fence effect of fast Fourier transform (FFT) restricts the demodulation performance of the underwater acoustic(UWA) communication systemusing orthogonal frequency division multiplexing (OFDM). To solve this problem, we propose a demodulation algorithm based on ZoomFFT. Specifically, the received signal is processed by frequency shifting and downsampling forarefined spectrum, which improves the spectralresolution and weakens the picketfence effect.Meanwhile, the channel response is refined, and the channel equalization algorithm is constructed on the basis of the minimum mean square error (MMSE) principle to eliminate the channel influence. Simulations show that the performance of underwater acoustic OFDM demodulation algorithm based on ZoomFFT is better than that of traditional FFT, and the algorithm complexity is low. Increasing the downsampling coefficient can further enhance the algorithm performance. The proposed algorithm can meet the requirements of low complexity and high performance of a UWA communication system.
Recommended Citation
Guo, Qing; Li, Angdi; Wu, Jing; and Su, Haitao
(2022)
"ZoomFFT-Based Demodulation Algorithm for Underwater Acoustic OFDM Signals,"
Journal of System Simulation: Vol. 34:
Iss.
2, Article 14.
DOI: 10.16182/j.issn1004731x.joss.20-0714
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/14
First Page
314
Revised Date
2021-02-05
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0714
Last Page
322
CLC
TN971.+1
Recommended Citation
Qing Guo, Angdi Li, Jing Wu, Haitao Su. ZoomFFT-Based Demodulation Algorithm for Underwater Acoustic OFDM Signals[J]. Journal of System Simulation, 2022, 34(2): 314-322.
DOI
10.16182/j.issn1004731x.joss.20-0714
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