Target Detection and Estimation for Shipborne HFSWR Based on Platform Steering Imaging

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Authors: Jiaqi WANG, Aijun Liu, Changjun Yu, Kaixian Yang
Cited by: 0

Abstract

For shipborne high-frequency surface wave radar (HFSWR), the six degrees of freedom (6-DOF) oscillation motion of the platform seriously affect the performance of target detection and parameter estimation. This letter analyzes the antenna displacement caused by the 6-DOF motion, and confirms that the attitude adjustment of the platform could minimize the impact of range bias on the target Doppler spectrum. On this basis, this letter proposes an RD imaging method based on platform steering, and verifies the feasibility and effectiveness of the proposed method through Monte Carlo experiments based on actual RD backgrounds. This helps achieve the detection and tracking of noncooperative targets by shipborne HFSWR.

Fields of Study & Subjects

Advanced SAR Imaging Techniques Radar Systems and Signal Processing Ocean Waves and Remote Sensing

Publication details

Journal / source
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Volume
E109.A
Issue
9
Pages
1686–1690
Publication date
1 March 2026
Language
EN