Aimed at the strong nonlinear and non-Gaussian problems of target tracking system under compound K noise jamming, the Cubature Particle Filter (CPF) algorithm and Unscented Particle Filter (UPF) algorithm are applied in typical target tracking systems based on the compound K noise statistical model, and the tracking performance of the algorithm are analyzed through simulation.The experimental results illustrate that:1) Both the CPF and UPF algorithms have good performance in tracking moving target under condition with compound K noise;and 2) Compared with UPF, the CPF has higher tracking accuracy, better real-time performance, and lower complexity in the algorithm design.