Track-Before-Detect Algorithm for Weak Extended Target Based on Particle Filter under Clutter Environment
Wu Sunyong,
Xue Qiutiao,
Zhu Shengqi,
Yan Qingzhu,
Sun Xiyan
Affiliations
Wu Sunyong
①(School of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China) ②(Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin 541004, China)
Xue Qiutiao
①(School of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China)
Zhu Shengqi
③(National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China)
Yan Qingzhu
①(School of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China)
Sun Xiyan
②(Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin 541004, China)
The Track-Before-Detect (TBD) algorithm based on the particle filter is proposed for weak extended target detection and tracking in low signal to clutter noise radio. The rod-shaped object is analyzed by dividing the cell on range and azimuth under the Weibull clutter. On the basis of a point target, the likelihood function and particle weights can be obtained by the target spread function. In the TBD algorithm, the binary target variable and the target shape parameters is added to the state vector and the scattering points in the sample collection is given based on the particle filter, which can detect and estimate the target state and the shape parameters under the clutter environment. Simulation results show that the stability of the algorithm is very good.
