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Optimization of Emission Waveform by Accelerated Particle Swarm Algorithm Based on Logarithmic Frequency Offset Mathematical Model

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Abstract

In this article, a novel technique is applied to achieve time-invariant spatial focusing performance for static and moving target by applying an irregular frequency modulation method to a frequency diverse array (FDA) waveform transmission system. The FDA radar can improve the anti-noise ability of the system by the means of concentrating the waveform energy on the required range or angle sector. However, the synthesized waveform has high sidelobes and is time-varying during the transmission waveform. In view of the above problems, a new waveform synthesis model of rang compensation frequency diverse array (TMRC-FDA) is established and the effect of parameter \(\varsigma\) on the waveform synthesis is analyzed. A new accelerated particle swarm optimization algorithm is used to optimize the distribution of parameter \(\varsigma\). The numerical simulation results show that the proposed TMRC-FDA waveform synthesis method achieves the goal of time invariance and reduces the waveform sidelobes. At the same time, it has better performance in terms of waveform focus compared to log-frequency offset FDA based on time-modulated and fixed parameters \(\varsigma\).

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, 130022, China

    Wei Chu, Yun-Qing Liu, Xiao-Long Li, Yue Zhao, Qiong Zhang & Fei Yan

Authors
  1. Wei Chu
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  2. Yun-Qing Liu
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  3. Xiao-Long Li
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  4. Yue Zhao
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  6. Fei Yan
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Correspondence to Yun-Qing Liu.

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Chu, W., Liu, YQ., Li, XL. et al. Optimization of Emission Waveform by Accelerated Particle Swarm Algorithm Based on Logarithmic Frequency Offset Mathematical Model. Wireless Pers Commun 113, 167–187 (2020). https://doi.org/10.1007/s11277-020-07184-7

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