2D DOA Estimation Exploiting Vertical Synthetic Planar Arrays

In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation. The proposed array geometry named vertical synthetic planar array (VSPA) consists of an arbitrary SLA on the x-ax...

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Bibliographic Details
Published in:IEEE access 2021-01, Vol.9, p.3497-3507
Main Authors: Wang, Guiyu, Fei, Zesong, Ren, Shiwei
Format: Article
Language:English
Subjects:
Array signal processing
Arrays
Construction planning
Difference coarray
Direction of arrival
Direction-of-arrival estimation
DOA estimation
Estimation
Linear arrays
Planar arrays
Sensor arrays
Sensors
sparse planar array
synthetic aperture
Synthetic apertures
Two dimensional displays
vertical motion
Vertical orientation
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Summary:In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation. The proposed array geometry named vertical synthetic planar array (VSPA) consists of an arbitrary SLA on the x-axis and a series of its time-shifted arrays in the vertical orientation. With the original linear array and the moving trail known, the difference coarray of VSPA can be easily obtained. By utilizing both the synthetic aperture processing and the coarray technique, VSPA has the ability to construct a synthetic planar array with only an SLA used. Compared with the traditional sparse planar arrays (SPAs), such as 2D nested array and 2D coprime array, VSPA can achieve higher degree-of-freedom and improved 2D DOA estimation performance with the same number of sensors. Moreover, as different original linear arrays and moving trails can be chosen for different applications, the construction of VSPA is of high flexibility. Numerical simulations are presented to verify the superiority of the proposed VSPA geometry over other typical SPAs.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3047686