During the last years, many methods have been developed and studied in the field of source localization. A particular area of interest is the tracking of UAVs (Unmanned Aerial Vehicles) because of the numerous threats that can appear near sensitive sites. Delay and Sum Beamforming (DSB) is one of the methods that can be very useful to face this challenge. Indeed, this technique has a good robustness to noise which makes it an interesting tool. Recently, some processes have been studied to enhance the performance of DSB by taking into account the signature of UAVs. Signals obtained from a microphone antenna can be filtered according to the signature of an UAV before beamforming. Beamforming can also be performed from the measured signals, then the harmonic signature can be considered using the time-frequency representation of the focused signal. A pitch tracking algorithm can provide the fundamental frequency of the signals for consideration of the UAV's signature. Another interesting approach is the Steered Response Power (SRP) which can perform well in noisy environment. The use of generalized cross correlation with different spectral weightings provides a wide range of options. This study aims at comparing the performance of beamforming with time-frequency representation and SRP-PHAT on an experimental measurement with a UAV in flight.