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Compass pseudorange single-point has characteristics of easy to implement,without ambiguity problem,postioning fast . It has great value for research and application. Traditional least squares algorithm has linear error and strong dependence on initial values so that its accuracy of positioning is very low. In order to improve the accuracy of Compass pseudorange single-point positioning,proposed a combination algorithm of LS-PSO by analyzing the advantages and disadvantages of least squares algorithm(LS) and particle swarm optimization(PSO).Firstly it obtains the approximate location of receiver for the base value of PSO by LS and establishes the search space of the solution. Then it calculates the global optimum by PSO so that the result has higher accuracy. Through the verification of experiments,LS-PSO can calculate m-level precision positioning results stably and the three-dimensional errors are all within 5 meters. Finally by compared with the positioning accuracy of LS and the convergence of genetic algorithm,it proves that LS-PSO can converge to the optimal solution quickly and improve the accuracy of Compass pseudorange single-point positioning effectively.