An Improved Positioning Algorithm Based on PSO and PLS

In order to realize the high precision positioning indoor based on the technology of ultra wideband, this paper proposes one kind of algorithm based on the partial least squares (PLS) and particle swarm optimization (PSO) algorithm, for the problem about the search ability of PSO algorithm low efficiency. Firstly, The PLS algorithm is used to evalute the initial estimation of position, knowing TOA and the real distance model. Then adhibiting PSO algorithm to optimize the initial position. The simulation results show that, the mean square error of the scheme is up to centimeter level positioning, while the Gauss error is 4. Analysis shows that this algorithm has strong adaptability to complicated deployment environment, and owns the advantage of stable performance, strong robustness.