科研之友
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摘要
We propose the dual phase consensus algorithm (DCPA) to solve distributed sensor-target allocation for multitarget tracking. DPCA combines the benefits of greedy and consensus algorithms to converge to a feasible solution, and then iteratively improves the allocation to aproach the global optimal. Theoretical analysis for convergence and computational and communication complexity of the algorithm is included. This analysis is validated using representative simulation results including sensitivity studies for increasing the number of targets and varying network topologies.
- 出版日期2016-8
