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Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm
Author(s) -
Jin Chen,
Sheng Guan,
Ying Tong,
Lei Yan
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2867460
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Direction-of-Arrival (DOA) estimation capability of sensor arrays is greatly influenced by geometric configuration of arrays. We proposed a new type 2-D planar array, improved Archimedean spiral array (IASA), to arrange sensor elements and enhance the array performance through Archimedean curves. The 2-D MUSIC algorithm is used to estimate the spatial spectrum of signals. The analysis is complemented with numerical simulations. By comparing the root mean square error, the IASA has better 2-D DOA estimation results than circular array, rectangular array, and concentric ring array.

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