Abstract
Traditional multi-sensor target allocation often has problems such as slow algorithm iteration and low solution quality. In response to this problem, this paper proposes the NC-PSO algorithm, so that the particles can jump out of the local optimum and increase the convergence speed. At the same time, on the basis of the improved algorithm, the constraint of the target threat degree is added, the interval analytic hierarchy process is used to estimate the target threat, and the allocation principle is optimized, so that the use of sensor resources is better and the allocation is more reasonable. The simulation results prove that NC-PSO can allocate targets to multiple sensors faster and better.
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