Direction of Arrival Estimation for Uniform Circular Array Based on Monte Carlo Importance Sampling
Peng Ma, Shiquan Wang · 2018
A new method of estimating direction of arrival for uniform circular array is presented in this paper.Based on Monte Carlo importance sampling, the proposed method employs a global optimization to maximize the compressed likelihood function at low angular separation to boast relatively improved performance, which guarantees convergence to the global maximum with comparison to other suboptimal algorithm.In addition, the paper testifies the robustness and effectiveness by comparing to other algorithms.