Research On The Acquisition Algorithm Of High Dynamic GNSS Signal

In recent years, with the rapid development of GNSS, the navigation industry in all aspects of people's lives is having a profound impact. Navigation industry not only to promote the economy, and its strategic significance in the military has become increasingly prominent. Fast-moving objects, high-speed cruise missiles, rockets, supersonic aircraft navigation systems are required to provide precise navigation. And in this process, captured in high dynamic environment is a very important step to implement navigation and positioning. Therefore research GNSS signal acquisition algorithm in high dynamic environments has very important significance.Firstly,first chapter introduces the development of GNSS systems and the development of domestic and international high-profile acquisition algorithm dynamic environment from the macro level.The second chapter introduces the three main components of GNSS system briefly, and then describes the signal characteristics of the current four major satellite navigation system. Finally, analysis of GNSS positioning module principle and several receivers.The third chapter introduces the principles of GNSS signal acquisition and search strategy. Secondly, it introduces the traditional acquisition algorithm: capture serial timedomain algorithm, FFT acquisition algorithm based on parallel code phase. And then the traditional acquisition algorithm is derived and its strengths and weaknesses are discussed.At last, the commonly used capture PMF-FFT algorithm is introduced.The fourth chapter introduces an improved method of acquisition about searching the Doppler frequency variation rate in the highly dynamic scenes. This chapter has a detailed derivation to Improved algorithm and has done Matlab simulation. Experimental results show that under high dynamic environment improved method compared to the traditional method of acquisition is more accuracy and has a better anti-noise performance.