Investigating the Performance of 5G Signals in Modeling Processing Algorithms in a Semi-Active Radar System

The present research investigates the feasibility of utilizing standard 5G communication signals in semi-active radar systems (SARS). With the development of communication technologies, 5G signals have been considered as an illumination source for semi-active radars. With the limited expansion of 5G networks, conducting experimental studies in this field is challenging. Therefore, signal processing modeling is considered an essential solution to advance research in this field. The use of 5G signals can open new horizons in the development of high-resolution semi-active radar systems. The aim of this paper, focusing on the analysis of 5G-downlink signal characteristics and signal processing modeling in PALS, is to evaluate the capabilities and identify the system in providing high resolution in two dimensions (range and speed). To achieve the research objectives, the semi-active radar (PARL), standard, and structure (PARL) models, as well as the 5G signal propagation channel model, were based on the principles of signal processing theory. Computer modeling was used to calculate the PARL mutual uncertainty function using 5G signals. The results of the simulations showed that the semi-active radar system using 5G signals is capable of detecting targets with high resolution in both dimensions (range and speed). This system showed good performance in different scenarios. Therefore, 5G signals as an illumination source can be a suitable option for the development of PALS systems. It is suggested that, with the expansion of 5G networks, experimental studies should be conducted to validate the results of this al administration is necessary to optimize withdrawal guidelines.