Method for saving radar node resources in passive multi-radar cognitive tracking

The invention discloses a method for saving radar node resources in passive multi-radar cognitive tracking. The method includes firstly, carrying out averaging processing on the random signals in a passive multi-radar system to obtain a new evaluation standard taking the Bayesianas Cramer-Rao bound as the tracking performance, and then establishing a backpack problem based on node selection by taking the pre-set tracking precision of the system as a constraint condition and the minimized total radar node number as a target function, proposing an effective heuristic algorithm to solve the backpack problem, thereby effectively solving the problem that the complexity is high or the solution is difficult by an exhaustive search algorithm in actual use, and at the end, selecting a result according to the optimal node, and completing the target tracking through particle filtering. Therefore, the tracking precision meeting the requirement of the system is achieved, and meanwhile, the radar node resources are saved,