A method for obtaining the unknown three-dimensional location of at least one radio frequency, target emitter by time difference of arrival measurements, the method comprising the steps of: choosing at least one reference emitter with an exactly known location and known occupied frequencies; measuring with a plurality of sensor devices distributed around a target area the location of the at least one reference emitter with common TDOA techniques without precisely synchronizing the sensor devices; comparing the measured location of the at least one reference emitter with the already known exact location of the at least one reference emitter to obtain a comparison result; from the comparison result obtaining the location offsets in the measurement values caused by not precisely synchronizing the sensor devices; without any intermittent shutting down or switching off of the sensor devices, measuring the location of the at least one unknown target emitter by applying TDOA techniques; and correcting the location offsets in the measurement results of the at least one unknown target emitter caused by not precisely synchronizing the sensor devices using the known location offsets calculated for the at least one reference emitter, wherein the signal of the at least one target emitter received at each sensor device is sampled with a sampling frequency that is suitable according to the sampling theorem and the autocorrelation function of the received signal is computed from the sampled signal, the autocorrelation function therefore being a discrete autocorrelation function, and wherein the locating precision of the method is improved by the steps of: interpolating the values in each time segment of the autocorrelation function with a number of interpolation values suitable for subsequent smooth curve fitting; fitting a continuous smooth curve to the neighbourhood of the maximum value of the interpolated autocorrelation function in each time segment, the continuous smooth curve spanning the distances between the discrete values of the interpolated autocorrelation function; and calculating the maximum of the continuous smooth curve and taking this maximum as the maximum value of the autocorrelation function in this time segment, which is taken as the location offset. choosing at least one reference emitter with an exactly known location and known occupied frequencies; measuring with a plurality of sensor devices distributed around a target area the location of the at least one reference emitter with common TDOA techniques without precisely synchronizing the sensor devices; comparing the measured location of the at least one reference emitter with the already known exact location of the at least one reference emitter to obtain a comparison result; from the comparison result obtaining the location offsets in the measurement values caused by not precisely synchronizing the sensor devices; without any intermittent shutting down or switching off of the sensor devices, measuring the location of the at least one unknown target emitter by applying TDOA techniques; and correcting the location offsets in the measurement results of the at least one unknown target emitter caused by not precisely synchronizing the sensor devices using the known location offsets calculated for the at least one reference emitter, wherein the signal of the at least one target emitter received at each sensor device is sampled with a sampling frequency that is suitable according to the sampling theorem and the autocorrelation function of the received signal is computed from the sampled signal, the autocorrelation function therefore being a discrete autocorrelation function, and wherein the locating precision of the method is improved by the steps of: interpolating the values in each time segment of the autocorrelation function with a number of interpolation values suitable for subsequent smooth curve fitting; fitting a continuous smooth curve to the neighbourhood of the maximum value of the interpolated autocorrelation function in each time segment, the continuous smooth curve spanning the distances between the discrete values of the interpolated autocorrelation function; and calculating the maximum of the continuous smooth curve and taking this maximum as the maximum value of the autocorrelation function in this time segment, which is taken as the location offset. interpolating the values in each time segment of the autocorrelation function with a number of interpolation values suitable for subsequent smooth curve fitting; fitting a continuous smooth curve to the neighbourhood of the maximum value of the interpolated autocorrelation function in each time segment, the continuous smooth curve spanning the distances between the discrete values of the interpolated autocorrelation function; and calculating the maximum of the continuous smooth curve and taking this maximum as the maximum value of the autocorrelation function in this time segment, which is taken as the location offset.