Research On The Seven-Element Adaptive Anti-Jamming Algorithm Based On Compass Navigation Satellite System And Its Implementation On FPGA

With the rapid development of the Compass navigation system,the Compass industry in the core of the Compass system is also booming. A series of Industrial system such as Basic products, the Compass terminals, operation and maintenance have been founded in recent years. The satellite signal is belong to a weak signal with the strength of-133 dBm when it reaches the earth ground without any safeguard. Anti-jamming capability of satellite navigation systems is increasingly becoming an important indicator of the merits of the satellite navigation systems. This project discusses a seven-channel adaptive immunity algorithm based on Compass navigation system, and uses FPGA chip to achieve it.Firstly, the adaptive anti-jamming algorithm is present. Several kinds of anti-jammer algorithms are introduced, which are spatial, temporal, space-time. Then it discusses an adaptive beamforming method which enhances the useful signals while suppressing interferences.Then, based on the basic algorithms for adaptive immunity, this thesis gives an account of iterative implementations of seven-element space-time anti-jamming algorithm based on power inversion algorithm. it uses the DLMS algorithm to suppress interferences. It also discusses some improvements of DLMS Algorithm, resulting in three kind of improved structure, as TF-RDLMS, DF-RDLMS and TDF-RDLMS. Then this thesis study the performance of the algorithms discussed before, and compares the advantages of each algorithm.Thirdly, the seven-channel anti-jamming algorithm based on Compass is implemented on a FPGA hardware platform. It tells the FPGA hardware system design based on hardware platform, including the ADC, FPGA, DAC etc. Then it discusses implementation of the algorithm in FPGA chip.Lastly, this thesis does Experimental testing of the seven-channel anti-jammer system. It confirms the test system, test method and test standard. The experiments show that the system meets the requirements of the project indicators.