## 1 Introduction  
Radio-Frequency Interference (RFI) is an unwanted signal. It can reduce the reliability and efficiency of the communication networks in wireless systems [1; 2]. This issue has led to the need for location identification and RFI source tracking. From that, it can notify the organization responsible for RF intervention, which can be mitigated with the help of sophisticated techniques. For this reason, researchers and scientists have paid more attention to finding a suitable technique for precision tracking and localization of dynamic RFI, as well as creating different scenarios using a Software-Defined Radio (SDR) system as a quasi-real implementation on proposed algorithms. Even though extensive studies on geolocation and target-tracking techniques have been carried out based on various electromagnetic propagation parameters, which use various statistical methods by MATLAB simulation scenarios, none of the literature covers modeling and experiments using the very advanced and unique kind simulator called \"Orolia Skydel simulator\". Various experimental work has been implemented for geolocation and emitter-tracking to emulate navigation and communication satellite signals using other simulators. For example, ref. [3] created a model and analyzed the performance geolocation technique based on Satellite Tool Kit (STK) scenarios. In [4], the authors offered two constellationsbased on the GPS positioning output by OEM628 of BDStar Navigation Company. The data were processed using the signal software-processing platform, and the fusion positioning was done using opportunity signals (SOPs). In another article, [5], the pirentTM GSS6700 GNSS signal simulator (Spirent Communications plc, Paignton, UK) was paired with an interference signal generator through a SpirentTM GSS8366 device to construct quasi-real dynamic trajectories. Signal-power degradation, navigation solution availability, Dilution Of Precision (DOP), and positioning accuracy were all evaluated as part of the performance evaluation. Table 1 presents a comparison between the approach STK modeling executed in [3] and those executed by our approach. In this study, the Orolia Skydel simulator is used elegantly to generate In-phase/ Quadrature (I/Q) data files of RFI signals received by LEO satellites. Figure 1 illustrates the considered model of proposed scenarios. The simulated scenario is very well adapted for geolocation tracking of maneuver RFI sources. Many vital projects rely on durable and reliable GNSS signals to deliver extremely accurate Positioning, Navigation, and Timing (PNT) data in the next generation of satellite-enabled applications. Orolia GNSS testing and simulation services to assure the \begin{table}
\begin{tabular}{c c c} \hline \hline
**No** & **Ref. [3]** & **Our Proposed Modelling and Experiment** \\ \hline \multirow{4}{*}{1} & They have modeled quasi-real geostationary & \multirow{4}{*}{We have modeled quasi-real dynamic trajectories of LEO satellites as sensors and Unmanned Aerial} \\  & satellite with three antennas as sensors & & satellites as sensors and Unmanned Aerial \\  & to receive the signal strengths from & \multirow{4}{*}{Vehicle (UAV) as an emitter using Orolia Skydel simulator.} \\  & stationary Earth station as emitter using STK. & & \\ \hline \multirow{4}{*}{2} & They worked to geolocate the stationary & \multirow{4}{*}{We worked to geolocate and track a dynamic emitter using Cross Ambiguity Function (CAF) and} \\  & emitter using the RSS algorithm. & & High-degree Nonlinear Tracking Filters \\  & & & based on TDOA/FDOA. \\ \hline \multirow{4}{*}{3} & They verified the approach performance by & \multirow{4}{*}{We verified the approach performance based on} \\  & increasing latitudes at varying contour widths. & & different measurements of hybrid TDOA/FDOA \\ \cline{1-1} \cline{3-3}  & & & as well TDOA and FDOA individually. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison between the modeling and experiment proposed in [3] with our proposed modelling and experiment.