Direction of Arrival Estimation for Uniform Circular Array Based on Monte Carlo Importance Sampling
Peng Ma, Shiquan Wang
Available Online June 2018.
- 10.2991/eame-18.2018.61How to use a DOI?
- importance sampling; parameters estimation; uniform circular array
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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Peng Ma AU - Shiquan Wang PY - 2018/06 DA - 2018/06 TI - Direction of Arrival Estimation for Uniform Circular Array Based on Monte Carlo Importance Sampling BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 290 EP - 294 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.61 DO - 10.2991/eame-18.2018.61 ID - Ma2018/06 ER -