Journal of Positioning, Navigation, and Timing (J Position Navig Timing; JPNT)
Indexed in KCI (Korea Citation Index)
OPEN ACCESS, PEER REVIEWED
pISSN 2288-8187
eISSN 2289-0866

Joint Localization and Velocity Estimation for Pulse Radar in the Nearfield Environments

CONTENTS

Research article

Citation: Lee, N., Park, H., Park, D., Byeon, B., & Kim, S., 2023, Joint Localization and Velocity Estimation for Pulse Radar in the Nearfield Environments, Journal of Positioning, Navigation, and Timing, 12, 315-321.

Journal of Positioning, Navigation, and Timing (J Position Navig Timing) 2023 September, Volume 12, Issue 3, pages 315-321. https://doi.org/10.11003/JPNT.2023.12.3.315

Received on 15 August 2023, Revised on 20 August 2023, Accepted on 26 August 2023, Published on 30 September 2023.

License: Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/bync/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Joint Localization and Velocity Estimation for Pulse Radar in the Nearfield Environments

Nakyung Lee1, Hyunwoo Park1, Daesung Park2, Bukeun Byeon2, Sunwoo Kim1†

1Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea

2Avionics Radar System Team, Hanwha Systems, Yongin, Gyeonggi-do 17121, Korea

Corresponding Author: E-mail, remero@hanyang.ac.kr; Tel: +82-2-2220-4822

Abstract

In this paper, we propose an algorithm that jointly estimates the location and velocity of a near-field moving target in a pulse radar system. The proposed algorithm estimates the location and velocity corresponding to the outcome of orthogonal matching pursuit (OMP) in a 4-dimensional (4D) location-velocity space. To address the high computational complexity of 4D parameter joint estimation, we propose an algorithm that iteratively estimates the target’s 2D location and velocity sequentially. Through simulations, we analyze the estimation performance and verify the computational efficiency of the proposed algorithm.

Keywords

radar, near-field, localization, velocity estimation

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Author contributIons

Conceptualization, N. Lee and H. Park; methodology, N. Lee, H. Park and S. Kim; software, N. Lee and H. Park.; validation, N. Lee, H. Park, D. Park, B. Byeon and S. Kim; formal analysis, N. Lee, H. Park and S. Kim; investigation, N. Lee and H. Park; resources, D. Park and B. Byeon; data curation, N. Lee, H. Park and S. Kim; writing—original draft preparation, N. Lee; writing—review and editing, N. Lee, H. Park and S. Kim; visualization, N. Lee, H. Park and S. Kim; supervision, S. Kim; project administration, S. Kim; funding acquisition, S. Kim.

Conflicts of interest

The authors declare no conflict of interest.