User positioning with particle swarm optimization

Given a list of positioning measurements in location server, how to accurately estimate the user position is an open problem. We propose to apply particle swarm optimization (PSO) to estimate user position which can well explore the measurements including TDOA, TOA, DOA, and so on. Simulation results show that the PSO algorithms can significantly improve the positioning accuracy compared to current positioning methods.

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