一种弹载相控阵天线互耦系数计算方法
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摘要
针对目前弹载相控阵天线互耦补偿时估计互耦系数的速度慢,精度不高的问题,提出一种精确计算弹载相控阵天线单元互耦系数的改进人工鱼群算法。该方法基于信号子空间理论,采用双辅助信号源估计雷达天线阵互耦系数。两次计算机仿真结果表明,改进人工鱼群算法在130 s和190 s左右收敛,而模拟退火算法在170 s和220 s左右收敛;同时,改进人工鱼群算法计算的互耦系数幅值和相位精度较高,空间波谱估计的效果前者也好于后者。暗室实验也表明了改进人工鱼群算法在空间波谱估计效果上好于模拟退火算法,证明了该方法的有效性。
Aiming at the problem that the estimation of mutual coupling coefficient is slow and the accuracy is not high when missile-loaded phased array antenna is compensated for mutual coupling,an improved artificial fish swarm algorithm is proposed to accurately calculate the mutual coupling coefficient of missile-loaded phased array antenna elements. The method is based on the signal subspace theory and uses the double auxiliary signal source to estimate the mutual coupling coefficient of the radar antenna array. The results of two kinds of simulations show that the improved artificial fish swarm algorithm converges around 130 s and 190 s,while the simulated annealing algorithm converges around 170 s and 220 s.Meanwhile,the amplitude and phase accuracy of mutual coupling coefficient which are calculated by improved artificial fish swarm algorithm are higher,and the effect of spatial spectrum estimation is better than that of the latter. The darkroom experiment also shows that the improved artificial fish swarm algorithm is better than the simulated annealing algorithm in spatial spectrum estimation,which proves the effectiveness of the method.
Aiming at the problem that the estimation of mutual coupling coefficient is slow and the accuracy is not high when missile-loaded phased array antenna is compensated for mutual coupling,an improved artificial fish swarm algorithm is proposed to accurately calculate the mutual coupling coefficient of missile-loaded phased array antenna elements. The method is based on the signal subspace theory and uses the double auxiliary signal source to estimate the mutual coupling coefficient of the radar antenna array. The results of two kinds of simulations show that the improved artificial fish swarm algorithm converges around 130 s and 190 s,while the simulated annealing algorithm converges around 170 s and 220 s.Meanwhile,the amplitude and phase accuracy of mutual coupling coefficient which are calculated by improved artificial fish swarm algorithm are higher,and the effect of spatial spectrum estimation is better than that of the latter. The darkroom experiment also shows that the improved artificial fish swarm algorithm is better than the simulated annealing algorithm in spatial spectrum estimation,which proves the effectiveness of the method.
引文
[1]柳青,朱坤,赵欣.高超声速精确打击武器制导控制关键技术[J].战术导弹技术,2018,(6):63-69.
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[7] Guo H,Guo C J,Ding J. Pattern synthesis of dual-band shared aperture interleaved linear antenna arrays[J]. Radioengineering,2014,23(3):798-804.
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[11]王洪雁,房云飞,朱圣棋,等.非均匀噪声条件下考虑互耦效应的DOA估计方法[J/OL].吉林大学学报(工学版):1-9[2018-12-17].
[12]刘江,张辰.均匀平面阵下的二维DOA估计与互耦自校正[J].电术技术,2016,56(4):377-382.
[13]王布宏,王永良,陈辉,等.均匀线阵互耦条件下的鲁棒DOA估计及互耦自校正[J].中国科学E辑:技术科学,2004,(2):229-240.
[14]刘超.阵列信号处理中的自校正技术[D].合肥:中国科学技术大学,2009.
[15]江铭炎,袁东风.人工鱼群算法及其应用[M].北京:北京科学出版社,2011:178-220.
[16]刘荣荣.基于自适应人工鱼群算法的微电网优化运行的研究[D].西安:西安理工大学,2017.
[17]高火涛,李咏絮,郑霞.天线阵互耦系数的估计[J].通信学报,2005,(4):19-23.
[2] Barton D K. Modern radar system analysis[M]. Artech House,1988.
[3]范金荣. 21世纪前20年精确制导技术发展预测[J].现代防御技术,2003,31(1):31-33.
[4] Brookner E. Recent developments and future trends in phased arrays[C]. IEEE International Symposium on Phased Array Systems and Technology,IEEE,2013:43-53.
[5]高烽.相控阵导引头的基本特点和关键技术[J].制导与引信,2005,26(4):1-5.
[6] Hang Hu,Haiming Qi,Michelangelo Villano,et al. Advances in antenna array processing for radar 2014[J]. International Journal of Antennas and Propagation,2015.
[7] Guo H,Guo C J,Ding J. Pattern synthesis of dual-band shared aperture interleaved linear antenna arrays[J]. Radioengineering,2014,23(3):798-804.
[8] Choi S,Bae H D,Sarkar T K. An efficient adaptive algorithm for the direction-of-arrival(DOA)estimation utilizing the solution of extreme eigenvalue problem[P].Antennas and Propagation Society International Symposium,AP-S,Digest,1991.
[9] Wei Yan,Zhaoda Zhu. Maximum likelihood DOA estimation by real-valued genetical gorithm[P]. National Aerospace and Electronics Conference,NAECON2000,Proceedings of the IEEE 2000,2000.
[10] Hoi Shun Lui,Hon Tat Hui. Mutual coupling compensation for direction-of-arrival estimations using the receiving-mutual-impedance method[J]. International Journal of Antennas and Propagation,2010.
[11]王洪雁,房云飞,朱圣棋,等.非均匀噪声条件下考虑互耦效应的DOA估计方法[J/OL].吉林大学学报(工学版):1-9[2018-12-17].
[12]刘江,张辰.均匀平面阵下的二维DOA估计与互耦自校正[J].电术技术,2016,56(4):377-382.
[13]王布宏,王永良,陈辉,等.均匀线阵互耦条件下的鲁棒DOA估计及互耦自校正[J].中国科学E辑:技术科学,2004,(2):229-240.
[14]刘超.阵列信号处理中的自校正技术[D].合肥:中国科学技术大学,2009.
[15]江铭炎,袁东风.人工鱼群算法及其应用[M].北京:北京科学出版社,2011:178-220.
[16]刘荣荣.基于自适应人工鱼群算法的微电网优化运行的研究[D].西安:西安理工大学,2017.
[17]高火涛,李咏絮,郑霞.天线阵互耦系数的估计[J].通信学报,2005,(4):19-23.