The coordinated operation of UAV Swarm enhances positioning accuracy, reduces individual errors, and improves system robustness and real-time performance. Current research on cooperative positioning mainly focuses on multi-sensor fusion and technological optimizations. This article aims to find a high-precision and stable cooperative positioning solution for UAV Swarm by addressing the limitations of individual positioning coordination. It reviews existing research, analyzing the advantages and key technologies of multi-sensor fusion specific to UAV Swarm. The study also explores advancements in visual positioning optimization, signal anti-interference, and fusion filtering techniques to improve accuracy, offering valuable insights for the development of multi-UAV cooperative positioning systems.