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作 者:时春鹏 何华锋 何耀民 李震 闫少强 张孝宇 SHI Chunpeng;HE Huafeng;HE Yaomin;LI Zhen;YAN Shaoqiang;ZHANG Xiaoyu(College of Missile Engineering,Rocket Force University of Engineer,Xi’an 710025,China;College of Combat Support,Rocket Force University of Engineer,Xi’an 710025,China)
机构地区:[1]火箭军工程大学导弹工程学院,西安710025 [2]火箭军工程大学作战保障学院,西安710025
出 处:《北京航空航天大学学报》2024年第4期1325-1335,共11页Journal of Beijing University of Aeronautics and Astronautics
基 金:国家自然科学基金(61573366)。
摘 要:针对极化敏感阵列中非完备电磁矢量传感器多参数联合估计问题,提出一种基于三维电磁矢量传感器平面圆阵模型的波达方向(DOA)和极化参数联合估计方法。利用阵列流型矩阵的特性将四维谱函数进行解耦,严格证明DOA搜索与极化参数估计的不相关性,将四维谱搜索优化为仅与DOA相关的二维谱搜索,提出DOA谱峰搜索二级比较策略,可使雷达自动识别谱峰坐标,有效提高信号处理的实时性;提出一种基于精英反向学习和Lévy飞行的改进粒子群算法对极化参数进行估计,提高极化参数的收敛性能。通过与同类算法进行仿真对比,结果表明:所提算法在牺牲少量时间的条件下可提高估计精度。To address the problem of multi-parameter joint estimation of incomplete electromagnetic vector sensors in the polarization sensitive array,a joint estimation method of Direction of Arrival(DOA)and polarization parameters is proposed based on a circle array model of the three-dimensional electromagnetic vector sensor plane.Using the characteristics of the array flow pattern matrix,a four-dimensional spectral function is decoupled,and the uncorrelation between DOA search and polarization parameter estimation is rigorously proved.A four-dimensional spectral search is optimized to a two-dimensional spectral search only related to DOA.A two-level comparison strategy of the DOA spectral peak search is proposed,which enables the radar to automatically identify the spectral peak coordinates and effectively improve the real-time performance of signal processing.The improved particle swarm optimization algorithm based on elite reverse learning and Lévy flight is proposed to estimate the polarization parameters,which improves the convergence performance of polarization parameters.The simulation results show that the proposed algorithm improves the estimation accuracy at the expense of a small amount of time.
关 键 词:参数估计 波达方向搜索策略 粒子群算法 精英反向学习 Lévy飞行 极化敏感阵列
分 类 号:TN911.7[电子电信—通信与信息系统]
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