The main objective of this article is to provide radar detection of UAVs over a certain area, and to examine the results of modelling and experimental applications of monostatic and multistatic radar architectures by improving and comparing their accuracy with estimation algorithms. It was determined that the results obtained were inadequate and there were certain shortcomings in both physical and software. To eliminate these shortcomings, simulation tests were carried out in various scenarios and appropriate software was developed to obtain faster and more accurate results. In this article, radar and UAV are used. As a result, the position data from the two monostatic radars were determined to have approximately the same error (deviation) (0.25 m on the X-axis), and the size of the UAV as a source of error is associated with a high SNR level of Echoes returning from its surface and blocking it to other surfaces. If the necessary infrastructure (synchronization, software, common timing) is established, it is foreseen that this type of common radars can pave the way for the use of UAV detection methods in the form of plug-and-play multistatic radar systems. In conclusion, this article assesses the current state of the art in the detection of UAVs and focuses on methods and applications that can guide future research. It emphasizes the importance of efforts to increase the security of UAVs and to use these technologies effectively and efficiently.