Next Article in Journal
Design, Fabrication, and Performance Test of a New Type of Soft-Robotic Gripper for Grasping
Previous Article in Journal
Transformer Feature Enhancement Network with Template Update for Object Tracking
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for Nested Planar Array: RD-Root-MUSIC Algorithm

College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(14), 5220; https://doi.org/10.3390/s22145220
Submission received: 2 June 2022 / Revised: 6 July 2022 / Accepted: 8 July 2022 / Published: 13 July 2022
(This article belongs to the Section Communications)

Abstract

To address the problem of expensive computation in traditional two-dimensional (2D) direction of arrival (DOA) estimation, in this paper, we propose a 2D DOA estimation method based on a reduced dimension and root-finding MUSIC algorithm for nested planar arrays (NPAs). Specifically, the algorithm proposed in this paper transforms the problem based on 2D spectral peak search into two one-dimensional estimation problems by reducing the dimension, and then transforms the one-dimensional estimation problem into a problem of polynomial root finding. Finally the parameters are paired to realize the 2D DOA estimation. The proposed algorithm not only performs two root finding operations directly according to the 2D spectral function transformation, avoiding the performance degradation caused by intermediate operations, but can also fully exploit the enlarged array aperture offered by NPAs with reduced computational complexity and no need for virtualization. The superiorities of the proposed algorithm in terms of estimation accuracy and complexity are verified by simulations.
Keywords: nested planar array; direction of arrival estimation; degree of freedom; reduced-dimensional; polynomial root finding nested planar array; direction of arrival estimation; degree of freedom; reduced-dimensional; polynomial root finding

Share and Cite

MDPI and ACS Style

Han, S.; Lai, X.; Zhang, Y.; Zhang, X. A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for Nested Planar Array: RD-Root-MUSIC Algorithm. Sensors 2022, 22, 5220. https://doi.org/10.3390/s22145220

AMA Style

Han S, Lai X, Zhang Y, Zhang X. A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for Nested Planar Array: RD-Root-MUSIC Algorithm. Sensors. 2022; 22(14):5220. https://doi.org/10.3390/s22145220

Chicago/Turabian Style

Han, Shengxinlai, Xin Lai, Yu Zhang, and Xiaofei Zhang. 2022. "A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for Nested Planar Array: RD-Root-MUSIC Algorithm" Sensors 22, no. 14: 5220. https://doi.org/10.3390/s22145220

APA Style

Han, S., Lai, X., Zhang, Y., & Zhang, X. (2022). A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for Nested Planar Array: RD-Root-MUSIC Algorithm. Sensors, 22(14), 5220. https://doi.org/10.3390/s22145220

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop