Grating Lobe and Sidelobe Suppression of Frequency Jump Burst based on Improved Multi-Objective Gray Wolf Optimization Algorithm

Frequency jump burst (FJB) signal combines the characteristics of linear frequency modulation (LFM) signal and frequency stepping signal. It can effectively achieve high range resolution without increasing system cost and complexity. Due to the fixed step frequency in the FJB, the autocorrelation fu...

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Veröffentlicht in:2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT) S. 1 - 3
Hauptverfasser: Liang, Shuo, Tang, Chunrui, Ye, Fang, Li, Yibing, Jiang, Tao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 12.08.2022
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Abstract Frequency jump burst (FJB) signal combines the characteristics of linear frequency modulation (LFM) signal and frequency stepping signal. It can effectively achieve high range resolution without increasing system cost and complexity. Due to the fixed step frequency in the FJB, the autocorrelation function (ACF) has a set of periodic peaks, which is called grating lobes. The side lobe and the grating lobe may hide small targets and weak reflection target. In this paper, the improved Multi-Objective Gray Wolf Optimization (IMOGWO) algorithm was applied to jointly suppress the side lobe and grating lobe. The instantaneous bandwidth of radar is limited. By changing the number of subpulses and step frequency, this paper analyzed the convergence and diversity of the pareto front, proved that it is very effective to design parameters of frequency jump transmission signal in using IMOGWO algorithm.
AbstractList Frequency jump burst (FJB) signal combines the characteristics of linear frequency modulation (LFM) signal and frequency stepping signal. It can effectively achieve high range resolution without increasing system cost and complexity. Due to the fixed step frequency in the FJB, the autocorrelation function (ACF) has a set of periodic peaks, which is called grating lobes. The side lobe and the grating lobe may hide small targets and weak reflection target. In this paper, the improved Multi-Objective Gray Wolf Optimization (IMOGWO) algorithm was applied to jointly suppress the side lobe and grating lobe. The instantaneous bandwidth of radar is limited. By changing the number of subpulses and step frequency, this paper analyzed the convergence and diversity of the pareto front, proved that it is very effective to design parameters of frequency jump transmission signal in using IMOGWO algorithm.
Author Jiang, Tao
Ye, Fang
Tang, Chunrui
Liang, Shuo
Li, Yibing
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  fullname: Liang, Shuo
  organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information
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  givenname: Chunrui
  surname: Tang
  fullname: Tang, Chunrui
  email: 89049567@qq.com
  organization: Air Force Communication NCO Academy,Dalian,China,116000
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  organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information
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  organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information
– sequence: 5
  givenname: Tao
  surname: Jiang
  fullname: Jiang, Tao
  organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information
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Snippet Frequency jump burst (FJB) signal combines the characteristics of linear frequency modulation (LFM) signal and frequency stepping signal. It can effectively...
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SubjectTerms Bandwidth
Chirp modulation
Frequency diversity
Frequency modulation
Gratings
Reflection
Simulation
Title Grating Lobe and Sidelobe Suppression of Frequency Jump Burst based on Improved Multi-Objective Gray Wolf Optimization Algorithm
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