• Laser & Optoelectronics Progress
  • Vol. 55, Issue 8, 80702 (2018)
Yang Junhui and Liu Yian
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop55.080702 Cite this Article Set citation alerts
    Yang Junhui, Liu Yian. Design of Radar Orthogonal Waveform Based on Hybrid Genetic Chicken Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(8): 80702 Copy Citation Text show less
    References

    [1] Huan H, Tao R, Li Y S, et al. Co-channel interference suppression for homo-type radars based on joint transform domain and time domain[J]. Journal of Electronics & Information Technology, 2012, 34(12): 2978-2984.

    [2] Zhao G Q. The principle of radar countermeasure[M]. Xi′an: Xidian University Press, 1999.

    [3] Xue C X. Research on shipboard radar anti-same-frequency interference method in formation[D]. Nanjing: Southeast University, 2007.

    [4] Gao H, Xue L Y. Back propagation neural network based on improved genetic algorithm fitting LED spectral model[J]. Laser & Optoelectronics Progress, 2017, 54(7): 072302.

    [5] Liu J F, Wang S Y, Zeng X Y, et al. PAPR reduction in optical OFDM systems based on swarm intelligence algorithms[J]. Acta Optica Sinica, 2017, 37(1): 0106006.

    [6] Duan L L, Liu D, Zhang Y P, et al. Lidar data gluing technology based on hybrid intelligent algorithm[J]. Acta Optica Sinica, 2017, 37(6): 0601002.

    [7] Singh S P, Rao K S. Discrete frequency coded radar signal design[J]. IET Signal Processing, 2009, 3(1): 7-16.

    [8] Deng H. Discrete frequency-coding waveform design for netted radar systems[J]. IEEE Signal Processing Letters, 2004, 11(2): 179-182.

    [9] Yang J, Qiu Z K, Li X, et al. Random discrete frequency coding signal based on chaotic series[J]. Journal of Electronics & Information Technology, 2011, 33(11): 2702-2708.

    [10] Wang D Y, Yuan J Q, Ma X Y. Design of discrete frequency-coding waveforms for MIMO radar via genetic algorithm[J]. Journal of Air Force Radar Academy, 2007, 21(2): 105-107.

    [11] Li J J, Jiang Y H, Dan B. Orthogonal discrete frequency coding waveforms design in MIMO radar[J]. Journal of Signal Processing, 2013, 29(9): 1176-1181.

    [12] Liu B, He Z S, He Q. Optimization of orthogonal discrete frequency-coding waveform based on modified genetic algorithm for MIMO radar[C]. International Conference on Communications, Circuits and Systems, 2007: 966-970.

    [13] Zhou M, Li H Z. Design and processing of radar frequency modulation coded pulse signal[J]. Journal of Naval University of Engineering, 2007, 19(5): 68-72.

    [14] Meng X, Liu Y, Gao X, et al. A new bio-inspired algorithm: chicken swarm optimization[M]∥Tan Y, Shi Y, Coello C A C. Advances in swarm intelligence. Germany: Springer International Publishing, 2014: 86-94.

    [15] Wei W Y, Wen Y H. Firefly optimization algorithm utilizing elite opposition-based learning[J]. CAAI Transactions on Intelligent Systems, 2017, 12(5): 710-716.

    [16] Chen G M, Jia J Y, Han Q X. Study on the strategy of decreasing inertia weight in particle swarm optimization algorithm[J]. Journal of Xi′an Jiaotong University, 2006, 40(1): 53-56.

    [17] Zhao K Q. Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes[J]. CAAI Transactions on Intelligent Systems, 2010, 5(1): 41-50.

    [18] Wei M H, Zheng Z H, Huang Q, et al. Fuzzy comprehensive evaluation of groundwater environment based on improved set pair analysis[J]. Journal of Hydraulic Engineering, 2009, 40(10): 1204-1209.

    [19] Wu M, Li Z Y, Liu Z Y, et al. Air environment quality assessment based on set pair analysis combined with genetic algorithm[J]. Environmental Science & Technology, 2009, 32(2): 168-171.

    [20] Kumar K, Garg H. Connection number of set pair analysis based TOPSIS method on intuitionistic fuzzy sets and their application to decision making[J]. Applied Intelligence, 2017(5): 1-8.

    Yang Junhui, Liu Yian. Design of Radar Orthogonal Waveform Based on Hybrid Genetic Chicken Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(8): 80702
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