Research And Realization Of Adaptive Processing Of Beidou Navigation Antenna Array

Global satellite navigation system is for positioning navigation facilities by using the radio signals. It has profound impact on human society, politics, economy and military activities. China’s Beidou satellite navigation system has emerged as one of world’s four major satellite navigation systems, and has been widely used in aviation, shipping, agriculture and other areas of life. However, due to the satellite signal is extremely weak, it can be easily affected by external electromagnetic interference, and even make navigation receiver device does not work properly, so anti-jamming technology based on antenna array has gotten an extensive research. This paper first studies the circularly polarized microstrip antenna for the Beidou navigation application, and designs a kind of circularly polarized antenna. The measure results show a good performance. On the basis of circular polarization microstrip antennas studies, it designs a 2×2 antenna array. Furthermore, array calibration theory is analyzed. Secondly, based on the analysis of planar array signal model, the optimal adaptive criterion is derived. Then study the power inversion blind adaptive algorithm based on LCMV. The algorithm performances of its multi-interference and broadband interference have been investigated. Then the improved power inversion-based iterative algorithm has been presented. From the simulated results, it has better spatial filtering properties using the improved algorithm. In order to further improve the performance of the algorithm, the space-time drop-dimensional multi-level Wiener filtering has been investigated. In the investigation, the numbers of antenna elements, delays and rank choice have been analyzed. Because the accurate estimation of the interference DOA has a profound meaning, the third part of the thesis also introduces the MUSIC algorithm, and studies the algorithm through the analysis of interference angle, interference to noise ratio and the number of snapshots.In order to solve the problem of conventional MUSIC algorithm has a bad performance in the case of interference to noise ratio is low, the MUSIC algorithm based on cycle-stationary signal characteristics, the simulation results show that in the case of low interference-noise ratio, the algorithm still has a good performance. Finally, realize anti-jamming algorithm and DOA algorithm in DSP platform. The experimental results verify that two algorithms have made a good performance.