Super fast scanning radar with tomographic gap application for weather phenomena studies

The goal of this project is to investigate several technical issues of super-fast scanning (SFS) technique for weather radar application. SFS technique employs a scanning methodology that is different to conventional scanning techniques. This scanning methodology can deliver a simultaneous and continuous image update rate, such that it can provide a promising alternative to pulse compression technique. However, the tomographic gap is generated in the sampling volume as a result of this scanning methodology. In this paper, the authors investigate the signal coherence issues associated with short pulse integration signal to noise ratio issue and optimal tomographic gap size based on a hypothetical microburst model