Research And Implementation Of Interference Suppression Algorithm Based On FPGA+DSP Architecture

The interference suppression is significantly important in the modern information technology and plays a central role in the military field.Thanks to the fact that the global navigation system(including the China Beidou navigation system)is developing rapidly,the importance of interference suppression in navigation becomes obvious.Currently,the most widely used interference suppression techniques include spacedimensional,space-time two-dimensional and the space-frequency adaptive interference suppression processing.Several common interference suppression techniques are studied,and a suitable one is achieved in the real navigation system.Firstly,the interference suppression technology is introduced,including background,status at home and abroad and its trends,meanwhile,its application in navigation is given a brief introduction.Then,three basic theories of interference suppression are presented,including the corresponding processing structures and common criteria.We focus on the Least Mean Square(LMS)algorithm and Sampling Matrix Inversion(SMI)algorithm on this basis of the power inversion algorithm,which work in space-dimensional structure and space-time two-dimensional structure.Their advantages and disadvantages are analyzed,including the realization of the hardware system and the degree of resource consumption.Finally,the LMS algorithm of space-time two-dimensional structure is selected as the realization algorithm.The implementation of LMS algorithm on the navigation interference suppression system is described in detail,including the overall design,the theory and implementation process of each module,for example the band-pass filter module,Hilbert converter module,interference suppression module and so on.Additionally,the software simulation is carried out to validate the effectiveness of the interference suppression method.Besides the software illustration,we demonstrate the field experiment of the interference suppression algorithm and describe the experimental platform,experimental steps,and experimental results.Finally,we summarize the work and propose some modified approaches.