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 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Shuo surname: Liang fullname: Liang, Shuo organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information – sequence: 2 givenname: Chunrui surname: Tang fullname: Tang, Chunrui email: 89049567@qq.com organization: Air Force Communication NCO Academy,Dalian,China,116000 – sequence: 3 givenname: Fang surname: Ye fullname: Ye, Fang organization: Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information – sequence: 4 givenname: Yibing surname: Li fullname: Li, Yibing 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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