Author:
Zhang Yeqing,Wang Meiling,Li Yafeng
Abstract
For the objective of essentially decreasing computational complexity and time consumption of signal acquisition, this paper explores a resampling strategy and variable circular correlation time strategy specific to broadband multi-frequency GNSS receivers. In broadband GNSS receivers, the resampling strategy is established to work on conventional acquisition algorithms by resampling the main lobe of received broadband signals with a much lower frequency. Variable circular correlation time is designed to adapt to different signal strength conditions and thereby increase the operation flexibility of GNSS signal acquisition. The acquisition threshold is defined as the ratio of the highest and second highest correlation results in the search space of carrier frequency and code phase. Moreover, computational complexity of signal acquisition is formulated by amounts of multiplication and summation operations in the acquisition process. Comparative experiments and performance analysis are conducted on four sets of real GPS L2C signals with different sampling frequencies. The results indicate that the resampling strategy can effectively decrease computation and time cost by nearly 90–94% with just slight loss of acquisition sensitivity. With circular correlation time varying from 10 ms to 20 ms, the time cost of signal acquisition has increased by about 2.7–5.6% per millisecond, with most satellites acquired successfully.
Funder
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Preliminary insights on fast GNSS signal capture using SFT and FFT frequency shift;Computers and Electrical Engineering;2024-11
2. Design and Implementation of Software-Defined Receiver;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-13
3. Adaptive approximate computing in edge AI and IoT applications: A review;Journal of Systems Architecture;2024-05
4. A Survey on Low-Power GNSS;IEEE Communications Surveys & Tutorials;2023
5. Signal Collection Method of Wireless Radio Frequency Gas Sensor Array Based on Virtual Instrument;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021