The cognitive radar network has shown significant advantages in multi-target tracking.This paper presents a bandwidth and dwelling time allocation algorithm based on Posterior Cramer-Rao Lower Bound (PCRLB).The influence of bandwidth and dwelling time on tracking accuracy is analyzed,and a model describing their relationship is constructed.A PCRLB-based optimization objective function with constraints is designed,and the joint allocation of dwelling time and bandwidth is realized by Particle Swarm Optimization (PSO).The simulation results show that,compared with the method of equal allocation of resource,the proposed method can not only save time and bandwidth resources,but also improve the tracking performance of radar.