An Envelope Likelihood Ratio Based IMM-PDA Algorithm for Weak Fluctuating Target Tracking in Clutter Environment

In this paper, a new envelope likelihood ratio based interacting multiple model probability data association algorithm (ELR-IMM-PDA) is proposed to improve weak maneuvering target tracking in dense clutter environment. Firstly, the inter-acting multiple model probability data association algorithm is introduced. Secondly, envelope likelihood ratio of Swerling 0, 1 and 3 targets is derived, and ELR-IMM-PDA is presented to deal with different Swerling type targets. Finally, simulation trials are conducted to show that the proposed method can exhibit superior performance at the expense of tiny computational complexity increase.