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DOA Estimation Using Antenna Arrays: A Universal Array Designing Framework

delete2023-01-01
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PRE
AI
A
Abdul Hayee Shaikh *
党
党小宇 (Xiaoyu Dang)
D
Daqing Huang
DOI:10.1109/TVT.2023.3284028delete
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摘要

摘要

En 中文
The use of antenna arrays is pivotal in array signal processing, with the different antenna arrays having their own structural advantages. The uniform linear arrays (ULAs) are more robust against antenna failures, but their degrees of freedom (DOFs) and array aperture, which are crucial for the direction of arrival (DOA) estimation, are limited. On the other hand, the sparse arrays can offer more DOFs and a larger array aperture but may not necessarily be as robust as ULAs. Hence depending on the given requirement, the properties of certain antenna arrays need to be exploited for direction finding. However, most of the existing antenna array configurations are deprived of a universal design approach. This manuscript introduces a universal array designing framework (UADF), which can employ different antenna arrays and exhibit multiple desirable properties. The UADF is based on effectively cascading three identical levels that can be nested to another M-times, with only its initial level to be configured by the antenna array. Thus, it inherits the characteristics of configuration used in the initial level and simultaneously embeds a good balance between key features in terms of low cost, easier construction and extension, reliability, robustness, more DOFs, larger continuous virtual aperture, and higher spatial efficiency. Moreover, the UADF enjoys closed-form expressions for the array configuration and DOFs. We employed different antenna arrays to demonstrate the usefulness of UDAF, which is also confirmed via numerical experiments.
Keyword:
Antenna arrays
Direction-of-arrival estimation
Linear antenna arrays
Estimation
Array signal processing
Aperture antennas
Directive antennas
Antenna arrays
direction of arrival
degrees of freedom
difference coarray
virtual aperture

期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

H
Hangzhou Dianzi University
学者数:
1.3W
论文数: 9.6K
被引数: 7.5K
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