## 6 Conclusions and Future Works  
In this paper, we have investigated the accuracy of geolocation and tracking for RFI emitters at high speed and powerful rotation using extracted data from the Orolia Skydel simulator as a quasi-real environment. Employing the Orolia Skydel simulator, various scenarios for quasi-real dynamic trajectories of LEO satellites as sensors and a UAV as an RFI emitter have been constructed. The CAF and GHQF approaches were applied based on TDOA and FDOA measurements and data acquired from Orolia to geolocate and track a UAV at high speed and strong rotation circumstances. CRLB and PCRLB have verified the proposed approaches to determine the increase in RMSE using Monte Carlo iteration. Finally, it has been concluded that the proposed approaches can work perfectly with the extracted data from quasi-real environments. In future work, we propose to implement more experiments for complex algorithms such as considering the problem of initialization of CKF filter tracking by using stochastic CKF sampling, and considering an error estimated for position and velocity of RFI emitters achieved by the \(H_{\infty}\)/GHQF filtering with different values of \(\gamma\) (performance bound) and we will work to improve emitter-tracking estimation with developed filtering in circumstances of sensor position uncertainty.  
Conceptualization, A.E. and H.B.; methodology, A.E.; Simulation using GSG-8-Orolia, A.E., G.A.E.; validation, A.E., H.B., G.A.E. and R.J.L.; writing--original draft preparation, A.E.; writing--review and editing, H.B. and G.A.E.; supervision, R.J.L. All authors have read and agreed to the published version of the manuscript.  
This work has been supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Consortium for Research and Innovation in Aerospace in Quebec (CRIAQ) as well as four main strategic partners, namely Thales, Telesat, Vigilant Global, and ATEM as a part of the AVIO-601 project at Laboratory of Space Technologies, Embedded System, Navigation and Avionic (LASESNA) of Ecole de Technologie Superieure (ETS).  
The authors would like to thank the technical team of Orolia Canada Inc. Special thanks to especially Engineers [PERSON], [PERSON], and [PERSON] for their support and help with generating the various scenarios that we modeled using the Orolia Simulator. The authors are very grateful to the editor and the anonymous referees for their insightful and constructive comments that have helped to improve the presentation and quality of the manuscript.  
The authors declare no conflict of interest.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline  & \multicolumn{2}{c}{**Experimental Task**} & \multicolumn{2}{c}{**Theoretical Simulation**} \\  & **Quadrature** & **Execution Time** & **Quadrature** & **Execution Time** \\  & **Points** & **(ms)** & **Points** & **(ms)** \\ \hline
3 rd Deg CKF & 10 & 0.95 & 10 & 0.8 \\
3 rd Deg GHQF & 243 & 17.2 & 243 & 16.1 \\
5 th Deg GHQF & 3125 & 209.0 & 3125 & 206.0 \\ \hline \hline \end{tabular}
\end{table}
Table 3: Comparative of quadrature points and execution time during implementation of the experimental task and theoretical simulations.