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中文摘要：
针对由共形阵列天线多极化特性所导致的信源角度参数与极化参数耦合问题,提出一种基于RARE（rank reduction estimator,秩损估计器）理论的算法：充分利用柱面载体单曲率的外形特征,设计合理的阵元布局方案,同时利用非圆信号的虚拟扩展性质,理论上可以虚拟加倍母线1上的阵元。结合非圆—旋转不变子空间思想,实现俯仰角估计。最后利用其余母线上的阵元,设计秩损估计器,实现方位角估计。算法无须额外的参数配对过程,简化了算法步骤,在无须增加真实阵元个数前提下提高了所提算法的估计性能。最后,计算机仿真实验验证算法的有效性和优越性。
英文摘要：
In view of the issue that parameters of angle and polarization are coupled with each other, which is caused by pola- rization diversity of conformal array antenna, the paper proposed an algorithm that was based on theory of RARE ： this paper designed the placement of sensor elements with fully use of single curvature surface of cylindrical carrier. Meanwhile, non-cir- cular signals＇ property of virtual augment could be used to virtually double the sensor elements of first generatrix, acquired esti- mation for pitch angle with thought of NC-ESPRIT. It estimated azimuth angle by rank reduction estimator designed by sensor elements on rest generatrix. The supposed method didn＇ t need parameters pairing, which simplified the procedure of algo- rithm. The estimation performance of the algorithm can be advanced without increasing the number of real sensor elements. The computer simulation demonstrates its effectiveness and superiority.
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同项目期刊论文
Variational Sparse Bayesian Learning for Optimal Design of Interleaved Linear Arrays with Region Con
Reducing the Number of Elements in a Pattern Reconfigurable Antenna Array by the Multi-Task Learning
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