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A Novel Optimization Framework for Classic Windows Using Bio-Inspired Methodology

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Abstract

This paper presents a novel optimization framework for classic windows using a bio-inspired methodology, the firefly algorithm. Classic windows are widely used as sidelobe control for signals undergoing discrete Fourier transform processing. In general, the lower sidelobes of nonrectangular windows have been achieved at the cost of broadening of the mainlobe width (MW). Here, the novel optimized windows allow a better peak sidelobe ratio without MW broadening. The simulation results show the effectiveness of the proposal for sidelobe reduction for the purpose of radar range imaging while preserving resolution.

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Acknowledgments

We would first like to express our sincere appreciation to the two anonymous reviewers and the Associate Editor for their helpful suggestions and valuable comments. Also, we owe a very special thanks to the Editor-In-Chief, Professor M.N.S. Swamy for his invaluable help and suggestions.

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Authors and Affiliations

  1. Institute of Electronics, Chinese Academy of Sciences, Beijing, China

    Zhi-huo Xu, Yun-kai Deng & Yu Wang

  2. University of the Chinese Academy of Sciences, Beijing, China

    Zhi-huo Xu

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  1. Zhi-huo Xu
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  2. Yun-kai Deng
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  3. Yu Wang
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Correspondence to Zhi-huo Xu.

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Xu, Zh., Deng, Yk. & Wang, Y. A Novel Optimization Framework for Classic Windows Using Bio-Inspired Methodology. Circuits Syst Signal Process 35, 693–703 (2016). https://doi.org/10.1007/s00034-015-0079-4

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  • DOI: https://doi.org/10.1007/s00034-015-0079-4

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