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

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.

Keywords

• Clutter
• Weibull distribution
• Particle filter
• Track-Before-Detect (TBD)
• Extended target