Direction of Arrival Estimation for Uniform Circular Array Based on Monte Carlo Importance Sampling

DOI

10.2991/eame-18.2018.61How to use a DOI?

Keywords

importance sampling; parameters estimation; uniform circular array

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -