Year: 2025
Type: article
Abstract: ABSTRACT Aiming at the extended target tracking problem with irregular shapes, an extended target tracking algorithm that fuses random hypersurface model (RHM) and random matrix model (RMM) is proposed in the case where the priori shape of the target is unknown. First, the algorithm adopts the RMM method to track the extended target and then takes the reference points on the elliptical shape contour and constructs an ordered sequence. Second, the discrete Fourier transform (DFT) is performed on the sequence to find the coefficients of the harmonic components to obtain the elliptical shape parameters. Then, the ellipsoidal shape parameter is used as the a priori shape parameter of the star‐convex RHM. Finally, the effectiveness of the proposed algorithm is verified by simulation experiments. The proposed extended target fusion method provides a more accurate means for precise tracking and state prediction of extended targets.
Source: Electronics Letters
DOI: 10.1049/ell2.70371
Authors: Guoqing Qi, Zixuan Xu, Yinya Li, Andong Sheng
Institution: Nanjing University of Science and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,590
Awards: G8345077666, G8419054787
OpenAlex ID: W4412907752