Research On GNSS Signal Acquisition Technology Based On Compressed Sensing

In recent years,the satellite navigation system is playing a more and more important role in people's life,among the major satellite navigation systems,the American GPS system is the most mature development;The country's Beidou Navigation Satellite System has also launched its services globally in 2020.With the popularity of global navigation satellite system in intelligent equipment and sensor network,the performance and power consumption of receiver of navigation satellite system are required higher.In the signal receiving of navigation satellite system,acquisition is the first step of baseband signal processing,and its result is related to the accuracy of subsequent synchronization and resolution.The acquisition process needs to carry out a lot of correlation operation,which is a large power consumption part of the whole receiver.How to reduce the amount of calculation on the premise of ensuring the accuracy,so as to reduce the power consumption of the receiver is a hot issue in the study of satellite receivers.To solve the above problems,this paper studies the acquisition algorithm based on compressed sensing,and proposes an improved compressed sensing acquisition algorithm based on singular value.The main working and gain of this paper are as below:The structure of GPS and Beidou Navigation Satellite System signal and the characteristics of pseudo code are analyzed.The principle and related parameters of acquisition are introduced.Several acquisition algorithms and their advantages and disadvantages are studied.The sparsity of satellite navigation signals was analyzed,and the compressed sensing acquisition algorithms in different sparse domains were explored based on the framework of traditional acquisition algorithms.The research showed that the compressed sensing algorithm significantly reduced the related computation of the traditional acquisition algorithm.Through the simulation analysis and the comparison of computational complexity,the advantages and disadvantages of the compressed sensing algorithm and the performance improvement are geted.In this paper,an algorithm for compressed sensing acquisition based on singular value averaging is proposed.Based on the serial compressed sensing acquisition framework,singular value averaging is performed on Gaussian random measurement matrix,which improves the column uncorrelation and makes the acquisition performance better.The simulation results show that the improved algorithm can significantly improve the acquisition performance of the compressed sensing acquisition algorithm under the condition of low SNR.