Research On Anti-jamming Technology And Implementation Of Multi-array Satellite Navigation

In the evolution of today’s civilization,satellite navigation technology is crucial.Its use in both the military and the civilian spheres has grown in recent years,as has the demand for its high performance and precision.The amount invested in satellite navigation system research is rising across the board.The BDS system has been widely used throughout the world and fully exploits the late-mover advantage.Yet,there are still a number of issues with the development of a full satellite navigation system.The fundamental issue is that the satellite navigation system has a limited ability to block interference from external electromagnetic waves.The suppression jamming is the most prevalent and influential of these.Therefore,the primary research target for suppression jamming is likewise the anti-jamming algorithm.The space-time two-dimensional adaptive algorithm clearly outperforms the spatial algorithm in terms of anti-jamming performance,although the majority of STAP antijamming algorithms typically result in the code phase deviation of navigation signals.According to various models and studies,some STAP processing can result in navigation ranging errors that can be several meters or even hundreds of meters long.Today,as range and positioning accuracy become more important,these algorithms’ actual application performance rapidly deteriorates.As a result,a growing number of space-time adaptive filtering algorithms are continually being presented on the basis of different traditional anti-interference techniques.The traditional algorithms of minimum variance distortion free response and power inversion are first introduced,their performance is then analyzed,and the improved algorithms IMVDR and IPI are then introduced in light of the unique performance flaws of the traditional methods.To demonstrate how consistently testable their code divergence is,the two enhanced algorithms’ thorough mathematical model analyses are provided.Additionally,this study finished the space-time adaptive processing research on the foundation of the theoretical method in order to demonstrate the practical application performance of the implementation technique.The system simulation was completed by sampling the simulation satellite navigation signal data using a real four-array antenna.By incorporating the enhanced LMS algorithm,the power inversion portion of the IPI method implementation process was incrementally improved.Regarding the specific implementation of the algorithm,this thesis finished the simulation discussion and parameter selection of the parameters that must be taken into account in the hardware implementation,such as the time domain tap spacing,matrix order,etc.Additionally,it designed the FPGA-specific implementation algorithm for the key parts of the algorithm in the hardware implementation,including the matrix inversion algorithm and DLMS iterative algorithm.Eventually,the crucial component of the anti-interference algorithm is fully implemented in hardware as part of this thesis using an FPGA chip.In order to complete the error analysis,the Matlab platform ideal simulation results and the hardware simulation results from the Vivado platform are analyzed and compared.The test platform is created and the relevant hardware implementation is compiled and integrated by combining the Vivado platform.It confirms that the hardware and software collaboration performance of primary algorithmic components meets expectations,demonstrating the viability of the anti-jamming algorithm.