论文标题
可重构智能表面的有效DOA估计方法
Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm
论文作者
论文摘要
传统的到达方向(DOA)估计方法是用多个接收通道执行的。在本文中,在不同的情况下,只有一个完整的接收渠道解决了一个变化的DOA估计问题。提出了一种新的无人驾驶飞机(UAV)群,使用多个可重新配置的智能表面(RIS)进行DOA估计。 UAV运动大大降低了DOA估计性能,并且现有的原子量最小化(ANM)方法不能在数组扰动的情况下使用。具体而言,考虑到无人机的位置扰动,提出了一种新的基于原子规范的DOA估计方法,其中定义了一种原子范围,该方法是用位置扰动的参数定义的。然后,得出了一种自定义的半明确编程(SDP)方法来求解基于原子规范的方法,其中与传统的SDP方法不同,制定了另一个转换矩阵。此外,采用梯度下降方法来完善估计的DOA和位置扰动。仿真结果表明,所提出的方法在RIS AID的无人机群体系统中获得的DOA估计性能要比各种基准方案要比一个接收通道更好。
The conventional direction of arrival (DOA) estimation methods are performed with multiple receiving channels. In this paper, a changeling DOA estimation problem is addressed in a different scenario with only one full-functional receiving channel. A new unmanned aerial vehicle (UAV) swarm system using multiple lifted reconfigurable intelligent surface (RIS) is proposed for the DOA estimation. The UAV movement degrades the DOA estimation performance significantly, and the existing atomic norm minimization (ANM) methods cannot be used in the scenario with array perturbation. Specifically, considering the position perturbation of UAVs, a new atomic norm-based DOA estimation method is proposed, where an atomic norm is defined with the parameter of the position perturbation. Then, a customized semi-definite programming (SDP) method is derived to solve the atomic norm-based method, where different from the traditional SDP method, an additional transforming matrix is formulated. Moreover, a gradient descent method is applied to refine the estimated DOA and the position perturbation further. Simulation results show that the proposed method achieves much better DOA estimation performance in the RIS-aided UAV swarm system with only one receiving channel than various benchmark schemes.