CAIM：使用伊辛方法的到达角估计的合作
CAIM: Cooperative Angle of Arrival Estimation using the Ising Method
摘要：
本文提出了一种合作的到达角（AoA）估计，利用协同处理信道状态信息（CSI）从一组接入点，接收信号的相同的来源。由于接收信号是稀疏的，我们使用压缩感知（CS）来解决AoA估计问题。我们制定这个问题作为一个惩罚l0-范数最小化，重新制定它作为一个伊辛能源问题，并解决它使用马尔可夫链蒙特卡罗（MCMC）。仿真结果表明，我们提出的方法优于现有的方法在文献中。
英文摘要：
This paper proposes a cooperative angle-of-arrival(AoA) estimation, taking advantage of co-processing channel state information (CSI) from a group of access points that receive signals of the same source. Since received signals are sparse, we use Compressive Sensing (CS) to address the AoA estimation problem. We formulate this problem as a penalized l0-norm minimization, reformulate it as an Ising energy problem, and solve it using Markov Chain Monte Carlo (MCMC). Simulation results show that our proposed method outperforms the existing methods in the literature.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
