Airborne Radar Measurement Modeling Based on Improved Carrier Air Wake Model and Multi-layer Coupling Analysis
To improve the accuracy of navigation and positioning for unmanned carrier-based aircraft(UCA)auto-matic landing in complex marine environments,this study investigated the dynamic effects of carrier air wake on onboard radar measurements and established a modeling and analysis method based on multi-level coupling analys-is.Firstly,a time-varying carrier air wake model based on a state-space discretization approach using direct decom-position and forward differences was developed to overcome the limitations of traditional transfer function methods.Secondly,a component self-coupling carrier air wake model was constructed to be more consistent with actual sys-tem characteristics by considering the interaction between components,which are all related to the aircraft's flight speed.Thirdly,a more accurate depth effect model of carrier air wake on UCA's position was proposed by study-ing the coupling relationship between carrier air wake and UCA's attitude changes through the concept of coordin-ate transformation matrices.Subsequently,an analysis method of the effect of UCA's attitude changes on radar measurements was developed based on the impact of aircraft carrier attitude changes on radar measurements.Then,a displacement change effect model on onboard radar measurements was obtained using a diagrammatic approach.Finally,a nonlinear and non-Gaussian effect analysis model of carrier air wake on onboard radar measurements in actual marine environments was established to address aircraft stalling caused by atmospheric disturbances such as wind,waves,and currents.Simulation experiments showed the effectiveness and superiority of the proposed model-ing and analysis methods.
Carrier air wakeairborne radarstate spacecouplingnonlinear non-Gaussian