In the multi-target tracking process of networked radars, reasonable allocation of radar beams and power resources can further improve the working efficiency of the radar. In order to reasonably allocate radar beam resources, a networked radar resource allocation algorithm based on passive sensor coordination is proposed.The algorithm preferentially uses passive sensors to track targets, compares the predicted target covariance with the covariance threshold, and uses radar to track the targets whose covariance is larger than the threshold. At the same time, according to the targets threat degree to each radar, the target to be tracked is adaptively assigned to the radar, and the Bayesian Cramer-Rao Lower Boundary (BCRLB) trace is used as the cost function to construct a model to predict the optimal power assignment of each radar. The simulation results show that the proposed algorithm can effectively optimize radar resources and has better tracking performance.