The project is based on the proposal of a Passive Bistatic Radar that uses digital satellite television signals, transmitted from geostationary orbits, as sources of opportunity to detect distances and Doppler for different targets. Initially, the main objective of the project was the detection of rain, but due to the few precipitation events with strong intensity near the radar ground station, other detection experiments have been carried out. The setup of the ground station antennas, as well as the entire receiver instrument system, was mounted on the Institute of Space Sciences roof, from where there was access to multiple targets such as buildings, cars, trees, etc. The potential of digital satellite television signals and the configuration of passive bistatic radar has been studied, emphasizing in our radar system. The existing receiver instrument, called BIBA-SPIR (Bi-Band Software PARIS Interferometric Receiver), developed by the Earth Observation research group of the Institute of Space Sciences, has been used to record and sample direct and reflected signals of digital satellite television. Having a receiver antenna for each link, the UP antenna will receive the direct signal from the satellite and the DW antenna will receive the reflected signal. The central part of the project is based on the off-line software processing of signals received, using an open source library called \texttt{wavpy} in C++/Fortran90 and designed for the analysis and modeling of GNSS- R. Processing techniques such as DC calibration, filtering and cross correlations are applied to obtain result graphs such as clusters and Delay-Doppler maps. The main contribution during this project was based on creating the necessary code in order to create and define digital filters and to filter the received signals sampled by the BIBA-SPIR instrument. This code has been included in the aforementioned library. Also, a graphical user interface in Python has been created to provide the input and output parameters necessary for the correct operation of the main programs used to perform signal processing via software. The experimental results obtained support the validation of passive biestatic radar using digital satellite television signals to detect different targets and measure range and Doppler frequency.