Research on a Dual-Station Cooperative Angle-Measurement Localization Algorithm Based on Particle Filter

In the field of anti-stealth countermeasure technologies, infrared passive detection systems hold significant research value due to their covert sensing capabilities. However, their single-station observation mode is constrained by dimensional limitations in azimuth measurement, resulting in unobservability in target motion state estimation. This study proposes a maneuver target tracking solution based on a bistatic collaborative architecture. A bistatic collaborative angle-measurement localization geometric model is established, which integrates spatially distributed azimuth observation data with a modified resampling particle filter (MSPF) algorithm to achieve robust estimation of target motion states. Simulation results demonstrate that the proposed method achieves high-precision target state estimation. The research provides both theoretical foundations and practical references for the engineering application of passive collaborative detection technologies.