Direct position determination of non-circular sources based on unitary ESPRIT algorithm

Feng Wei; Zhao Chen; Peng Zhang; Xiankang Zhang; Zhao Zhou; Yin Wang; Kang Jiang

doi:10.1117/12.3040984

11 September 2024 Direct position determination of non-circular sources based on unitary ESPRIT algorithm

Feng Wei, Zhao Chen, Peng Zhang, Xiankang Zhang, Zhao Zhou, Yin Wang, Kang Jiang

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132531U (2024) https://doi.org/10.1117/12.3040984
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

In recent years, the research on direct position determination (DPD) for non-circular signals using multiple arrays has garnered significant interest. This paper presents a novel DPD algorithm that achieves high accuracy with low complexity. The proposed algorithm begins by conducting virtual aperture expansion of the received multiple station non-circular signals, thereby enhancing performance. Subsequently, it employs unitary transformation to convert complex calculations into real calculations, thereby substantially reducing computational complexity. Finally, by leveraging subspace data fusion and the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm, the source positions can be accurately estimated. Simulation results indicate that the algorithm attains high localization accuracy while maintaining low complexity.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feng Wei, Zhao Chen, Peng Zhang, Xiankang Zhang, Zhao Zhou, Yin Wang, and Kang Jiang "Direct position determination of non-circular sources based on unitary ESPRIT algorithm", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132531U (11 September 2024); https://doi.org/10.1117/12.3040984

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available