In this paper, an effective solution for adaptive sensor scheduling integrated with power and bandwidth allocation is developed for distributed multiple target tracking (MTT) in the netted collocated multiple-input multiple-output (C-MIMO) radar system. By incorporating a modified particle filter, the predicted posterior Cramé r-Rao lower bound (PCRLB) is calculated. Aiming at improving the sum of target tracking accuracy of location, the predicted PCRLBs of location of multiple targets is derived as the optimization metric. It is shown that the dynamic sensor scheduling is NP-hard, and a convex relaxation technique is adopted for the sensor scheduling. Taking account of the problem of joint power and bandwidth allocation is non-convex, a convex relaxation technique and cycle minimizer algorithm is adopted to convert the non-convex optimization problem into a series of convex problems. After the results of resource allocation are fed back to each node, an adaptive closed-loop system is established. Numerical results demonstrate that the location tracking accuracy can be improved efficiently by the proposed algorithm.
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