Atairports, runway operation is the limiting factor for the overall throughput; specifically the fixedand overly conservative ICAO wake turbulence separation minima. The wake turbulence hazardous flows candissipate quicker because of decay due to air turbulence or be transported out of the way on oncoming trafficby cross-wind, yet wake turbulence separation minima do not take into account wind conditions. Indeed, forsafety reasons, most airports assume a worst-case scenario and use conservative separations; the intervalbetween aircraft taking off or landing therefore often amounts to several minutes. However, with the aid ofaccurate wind data and precise measurements of wake vortex by radar sensors, more efficient intervals can beset, particularly when weather conditions are stable. Depending on traffic volume, these adjustments can generate capacity gains, which have major commercial benefits. This paper presents the use of Electronic scanningradar for detecting wake vortices. In this method, the raindrops Doppler spectrogram is used to retrieve thestrength of the wake vortex. Numerical simulation are performed to establish an empirical model used duringthe retrieval method. This paper presents also the results obtained during the trials of the PARIS-CDG dataset recorded from October 2014 to November 2015 with an X-band RADAR developed and deployed byTHALES. Atairports, runway operation is the limiting factor for the overall throughput; specifically sent fixed to overly conservative ICAO wake turbulence separation minima. Indeed, forsafety reasons, most airports assume a worst-case scenario and use conservative separations; the interval between aircraft taking off or landing therefore often amounts to several minutes. However, with the aid ofaccurate wind data and precise measurements of wake vortex by radar sensors, more adjustments when wake vortex by radar sensors, which may have capacity capacity gains, which have major commercial benefits. This paper presents the use of Electronic scanningradar for detecting wake vortices. In this method, the raindrops Doppler spectrogram is used to retrieve the strength of the wake vortex. Numerical simulation are performed to establish the empirical model used during the retrieval method. This paper presents also the results obtained during the trials of the PARIS-CDG dataset recorded from October 2014 to November 2015 with an X-band RADAR developed and deployed byTHALES.