Cooperative sensing performance of multi-satellite uplink systems

As global communication needs continue to grow, the scarcity of spectrum resources and the increase in interference underscore the importance of cognitive satellite communication systems. However, existing research has notable shortcomings in addressing uplink multi-satellite cooperative sensing performance in highly dynamic scenarios, particularly regarding multi-node cooperative detection performance while considering factors such as attenuation. Furthermore, there is a lack of in-depth discussion concerning analysis and fusion strategy design. To address these challenges, this paper proposes a method that combines Monte Carlo simulation with theoretical analysis, taking into account signal attenuation, distance uncertainty, and noise uncertainty, to conduct a comprehensive study of uplink multi-satellite cooperative sensing performance. Specifically, we employed soft fusion technology using Square Law Combining (SLC) and hard fusion technology utilizing various rules and conducted simulation experiments. The research results indicate that different fusion methods can both enhance and diminish signal detection performance. The analysis and simulation results presented in this paper validate the effectiveness of the proposed method, offering significant references for the selection and design of multi-node cooperative detection strategies across various scenarios involving low Earth orbit satellite constellations.