Research On Satellite Navigation Polarization Space-Time Multi-Dimensional Joint Anti-jamming Technology

In recent years,polarization sensitive arrays(PSAs)have become attractive due to their outstanding anti-interference performance.Compared with scalar arrays,the PSAs have more degrees of freedom and unique polarization division multiple access.At present,there are many literatures on the Global Navigation Satellite System's(GNSS)anti-interference problem of PSAs,but these studies are based on a static or low dynamic environment.In the high dynamic environment,due to the possible null mismatch problem,it will lead to the existing polarization anti-interference studies degraded or even failed.Under the condition of uniform linear PSA(UL-PSA),this thesis studies how to more robustly suppress interference in a high dynamic environment.The main work is as follows:1.The received signal model of UL-PSA is established,and three basic polarizationspace joint anti-jamming algorithms are studied.The characteristics of each algorithm are analyzed through simulation experiments.2.In the spatial domain,the problem of null mismatch in high dynamic environment is always solved by the null broadening method.This thesis explores two commonly used methods of spatial null broadening: covariance matrix taper(CMT)method and differential derivative constraint(DDC)method,which are analyzed and compared by simulation experiments.In this thesis,by establishing a high dynamic received signal model of UL-PSA,the CMT of polarization-space joint is derived and combined with the basic polarization-space joint anti-jamming algorithms to obtain three more robust anti-jamming algorithms.The effectiveness of these three algorithms is verified by simulation.3.Under the condition of polarization-space-time joint received signal model,the polarization-space-time joint power inversion(PI)algorithm is studied.In this thesis,by establishing the polarization-space-time joint received signal under a high dynamic condition,the polarization-space-time joint CMT is derived,and the power inversion algorithm based on polarization-space-time joint CMT is obtained.The robustness of the algorithm is verified by simulation.4.In this thesis,three common array manifold error models are established: channel error,coupling error and array position error.Under the condition of these three array manifold errors,the effects of each array manifold error on the polarization-spacetime joint anti-jamming algorithm are studied.