一种适用于集群无人机超分辨的波束域方位估计算法

为了提升对集群无人机目标的分辨能力，提出了一种波束域方位超分辨估计算法。该方法不仅可以避免传统的稀疏表示类测角方法的计算复杂度高和需要选取超参数问题，而且在单快拍数、入射信号空间角度间隔较小等非理想情况下都具备很好的分辨能力，与相控阵雷达波束形成、距离?多普勒域处理的流程相适配。通过仿真试验，可以说明：该方法可以帮助雷达提前将密集目标分辨开，进而实现对于集群的规模（个数）、轮廓等信息进行准确估计，具有很强的应用价值。

A Beam Domain DOA Estimation Algorithm Applied in Swarm UAVs Super⁃Resolution

In order to improve the resolution ability of swarm UAVs, a beam domain iterative adaptive approach （IAA） algorithm is proposed. This method not only avoids the high computational complexity and the need to select hyper?parameters of the traditional sparse representation angle measurement method, but also has a good resolving ability in non?ideal conditions such as single snapshot number and small spatial angle interval of target signal, which is compatible with the process of phased array radar beamforming and range?Doppler domain processing. Through simulation experiments, it can be shown that this method can help radar to distinguish dense targets in advance, and then accurately estimate the size （number）, contour and other information of the cluster, which has strong application value.