激光与光电子学进展, 2019, 56 (3): 032001, 网络出版: 2019-07-31  

基于改进灰狼算法的天波雷达定位模型 下载: 1171次

Sky-Wave Radar Location Model Based on Improved Grey Wolf Optimization Algorithm
作者单位
江南大学物联网工程学院, 江苏 无锡 214122
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宋萍, 刘以安. 基于改进灰狼算法的天波雷达定位模型[J]. 激光与光电子学进展, 2019, 56(3): 032001.

Ping Song, Yian Liu. Sky-Wave Radar Location Model Based on Improved Grey Wolf Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(3): 032001.

参考文献

[1] Guo X, Ni J L, Liu G S. Architecture and signal processing of sky wave over-the-horizon radar[J]. Radio Science, 2003, 38(5): 1-14.

[2] 宋君, 赵正予, 周晨, 等. 多基高频天波超视距定位模型[J]. 系统工程与电子技术, 2011, 33(2): 272-275.

    Song J, Zhao Z Y, Zhou C, et al. Study on sky-wave over-the-horizon location model of high frequency multistatic system[J]. Systems Engineering and Electronics, 2011, 33(2): 272-275.

[3] 孔若男, 程咏梅, 梁彦, 等. 基于OTHR与纯角度传感器群数据关联的模式辨识与定位精度提升[J]. 航空学报, 2012, 33(6): 1061-1069.

    Kong R N, Cheng Y M, Liang Y, et al. Mode identification and location improvement based on data association of OTHR and azimuth-only sensors[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(6): 1061-1069.

[4] 张晓玲. 无源时差定位技术在高频雷达中的应用[D]. 西安: 西安电子科技大学, 2013: 6- 9.

    Zhang XL. Application of passive TDOA location technology in HF radar[D]. Xi'an:Xidian University, 2013: 6- 9.

[5] Mirjalili S, Mirjalili S M, Lewis A. Grey wolf optimizer[J]. Advances in Engineering Software, 2014, 69: 46-61.

[6] Zhang X M, Kang Q, Cheng J F, et al. A novel hybrid algorithm based on biogeography-based optimization and grey wolf optimizer[J]. Applied Soft Computing, 2018, 67: 197-214.

[7] Ghebleh M, Kanso A. Stevanovi D. A novel image encryption algorithm based on piecewise linear chaotic maps and least squares approximation [J]. Multimedia Tools and Applications, 2018, 77(6): 7305-7326.

[8] Zou Y N, Liu P X, Yang C S, et al. Collision detection for virtual environment using particle swarm optimization with adaptive cauchy mutation[J]. Cluster Computing, 2017, 20(2): 1765-1774.

[9] 康岚兰, 董文永, 宋婉娟, 等. 无惯性自适应精英变异反向粒子群优化算法[J]. 通信学报, 2017, 38(8): 66-78.

    Kang L L, Dong W Y, Song W J, et al. Non-inertial opposition-based particle swarm optimization with adaptive elite mutation[J]. Journal on Communications, 2017, 38(8): 66-78.

[10] 柳长安, 王晓鹏, 刘春阳, 等. 基于改进灰狼优化算法的无人机三维航迹规划[J]. 华中科技大学学报(自然科学版), 2017, 45(10): 38-42.

    Liu C A, Wang X P, Liu C Y, et al. Three-dimensional route planning for unmanned aerial vehicle based on improved grey wolf optimizer algorithm[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2017, 45(10): 38-42.

[11] 白俊健, 孙群, 井诗博, 等. 稳健极限学习机及其在近红外光谱分析中的应用[J]. 激光与光电子学进展, 2015, 52(10): 103002.

    Bai J J, Sun Q, Jing S B, et al. Robust extreme learning machine and its application in analysis of near infrared spectroscopy data[J]. Laser & Optoelectronics Progress, 2015, 52(10): 103002.

[12] 张海东, 李贵荣, 李若诚, 等. 近红外光谱结合极限学习机和GA-PLS算法检测普洱茶茶多酚含量[J]. 激光与光电子学进展, 2013, 50(4): 043001.

    Zhang H D, Li G R, Li R C, et al. Determination of tea polyphenols content in puerh tea using nearinfrared spectroscopy combined with extreme learning machine and GA-PLS algorithm[J]. Laser & Optoelectronics Progress, 2013, 50(4): 043001.

[13] 徐岩, 韦镇余. 一种改进的交通标志图像识别算法[J]. 激光与光电子学进展, 2017, 54(2): 021001.

    Xu Y, Wei Z Y. An improved traffic sign image recognition algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(2): 021001.

[14] Wong C M, Vong C M, Wong P K, et al. Kernel-based multilayer extreme learning machines for representation learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(3): 757-762.

[15] Zhou C, Yin K L, Cao Y, et al. A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms[J]. Scientific Reports, 2018, 8: 7287.

宋萍, 刘以安. 基于改进灰狼算法的天波雷达定位模型[J]. 激光与光电子学进展, 2019, 56(3): 032001. Ping Song, Yian Liu. Sky-Wave Radar Location Model Based on Improved Grey Wolf Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(3): 032001.

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