Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (5): 982-988.doi: 10.3969/j.issn.1001-506X.2018.05.04

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Optimum design of 2-oversampling DFT filter bank based on shocking weight PSO hybridization

CHENG Yuting, PENG Bo, WEI Xizhang#br#

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  1. School of Electronic Science, National University of Defense Technology, Changsha 410073, China
  • Online:2018-04-28 Published:2018-04-24

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Abstract:

Digital radio frequency memory based on discrete Fourier transform （DFT） filter banks has features of wide frequency coverage and interference with broadband radars. The efficient polyphase implementation structure of the 2-oversampling DFT filter bank is deduced, which reduces the half of alias between the bands. In order to further improve the accuracy of the reconstructed signal, a filter frequency domain design method based on the particle swarm hybridization algorithm is proposed. By optimizing the objective function, the output peak signal to noise ratio is improved, the maximum output error is reduced, and the optimal solution time is reduced. The simulation results verify the correctness of the structure of the 2-oversampling DFT filter bank. The proposed filter design method can accurately reconstruct the wideband signal across multiple channels, with the ability to interfere with the wideband signal.

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