Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Abstract
The transmit/receive-receive (T/R-R) synergetic High Frequency Surface Wave Radar (HFSWR) has increasingly attracted attention due to its high localization accuracy, but multi-target pairing needs to be performed before localization in multi-target scenarios. However, existing multi-target parameter matching methods have primarily focused on track association, which falls under the category of information-level fusion techniques, with few methods based on detected points. In this paper, we propose a multi-target pairing method with high computational efficiency based on angle information for T/R-R synergetic HFSWR. To be more specific, a dual-receiving array signal model under long baseline condition is firstly constructed. Then, the amplitude and phase differences of the same target reaching two subarrays are calculated to establish the cross-correlation matrix. Subsequently, in order to extract the rotation factor matrices containing pairing information and improve angle estimation performance, we utilize the conjugate symmetry properties of the uniform linear array (ULA) manifold matrix for generalized virtual aperture extension. Ultimately, azimuths estimation and multi-target pairing are accomplished by combining the propagator method (PM) and the ESPRIT algorithm. The proposed method relies solely on angle information for multi-target pairing and leverages the rotational invariance property of Vandermonde matrices to avoid peak searching or iterations, making it computationally efficient. Furthermore, the proposed method maintains superb performance regardless of whether the spatial angles are widely separated or very close. Simulation results validate the effectiveness of the proposed method.
Funder
National Natural Science Foundation of China
research project fund of Songjiang Laboratory
Reference41 articles.
1. Li, J., Yang, Q., Zhang, X., Ji, X., and Xiao, D. (2022). Space-Time Adaptive Processing Clutter-Suppression Algorithm Based on Beam Reshaping for High-Frequency Surface Wave Radar. Remote Sens., 14.
2. Motion compensation method using direct wave signal for CTSR bistatic HFSWR;Ji;IEEE Geosci. Remote Sens. Lett.,2023
3. Joint correction method for ionospheric phase pollution of high-frequency sky-surface wave radar based on adaptive optimal path;Li;IET Radar Sonar Navig.,2023
4. Yang, Z., Lai, Y., Zhou, H., Tian, Y., Qin, Y., and Lv, Z. (2023). Improving Ship Detection Based on Decision Tree Classification for High Frequency Surface Wave Radar. J. Mar. Sci. Eng., 11.
5. Conceptual study on bistatic shipborne high frequency surface wave radar;Sun;IEEE Aerosp. Electron. Syst. Mag.,2018