Analysis and Estimation of Shipborne HFSWR Target Parameters Under the Influence of Platform Motion

Autor: Kaixian Yang, Q. M. Jonathan Wu, Yonggang Ji, Ling Zhang, Jiong Niu
Rok vydání: 2021
Předmět:
Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 59:4703-4716
ISSN: 1558-0644
0196-2892
DOI: 10.1109/tgrs.2020.3023025
Popis: For onshore high-frequency surface-wave radar (HFSWR), target parameter estimation focuses mainly on distance and velocity demodulation, then on azimuth determination. However, these parameters are difficult to solve accurately for shipborne HFSWR targets due to additional modulation on the echo signal introduced by the forward and six-degree-of-freedom (6-DOF) movement of the platform, causing target points spread and shift in radar Doppler spectra. To overcome this difficulty, the influence of platform motion on target detection is mathematically analyzed in terms of echo signal processing, and then theoretical equations are derived to correct the bias in measurements of the target’s state and features. Furthermore, to meet the requirement of shipborne HFSWR installed in limited space, the direction of arrival (DOA) estimation of irregular radar arrays with unequal intervals and arbitrary numbers of antennas is also analyzed. With the derived formulas, the parameters of the shipborne HFSWR target, including the range, radial velocity, and azimuth, can be accurately estimated with the help of inertial navigation system (INS) data. Moreover, both the simulation and the field experiment results validate the theoretical analysis and the derived equations.
Databáze: OpenAIRE