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      Track-Before-Detect Algorithm for Weak Extended Target Based on Particle Filter under Clutter Environment

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          Abstract

          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.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 June 2017
          : 6
          : 3
          : 252-258
          Affiliations
          [1 ] 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)
          [2 ] ①(School of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China)
          [3 ] ③(National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China)
          [4 ] ②(Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin 541004, China)
          Article
          6a337995627b4abda56d823e4377da24
          10.12000/JR16128

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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