The invention is about real-time autocalibration of parameters in range-based localization algorithms. It provides a method for determining the location of a mobile device, comprising the steps of: receiving from at least two reference stations a wirelessly transmitted signal, the location of the reference stations being known, wherein the signal is influenced by at least one parameter; determining at least one property of the received signal; determining an educated guess for at least one of the influencing parameters; estimating the at least one influencing parameters based on the at least one determined property and the at least one guessed, influencing parameter; estimating the distances to the at least two reference stations based on the at least one determined property and the at least one estimated, influencing parameter; and determining the position of the mobile device based on the distances to the at least two reference stations. The educated guess serves as an initial value for an estimator being used to estimate the influencing parameter. The educated guess may be provided by some further algorithm, it may be some predetermined value that has been determined to be a suitable value for a representative set of the possible circumstances, or it may even be some random initial value, although the later might result in either more computational effort to reach a sufficiently accurate estimation, or a less accurate estimation.