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A comparison of four algorithms of positioning for unmanned aerial vehicles (UAVs) navigation is presented in this work. In particular, the radical axis, maximum likelihood, Gauss-Newton and Quasi-Newton methods are implemented under the same conditions in a simulation platform. With this platform it is possible to simultaneously evaluate the accuracy of the position estimation and the trajectory tracking of a UAV of each algorithm allowing the comparison between them. In addition, the complexity of the algorithms is addressed and commented. Simulation results show that the studied methods present similar accuracies of the position estimation, being the Gauss-Newton and Quasi-Newton methods with the smallest error range.