Satellite navigation signal acquisition system and method based on time division multiplexing technology

Abstract

The invention discloses a satellite navigation signal acquisition system and method based on time division multiplexing technology. The system includes: a data cache module, which is used to write the sampling data to the data cache unit in real time; a pseudocode cache module, which is used to write the code chips with a set multiple pseudocode rate into the pseudocode cache unit; pseudocode generation The module is used to generate and store the pseudo-code chips of the set multiple rate required for capture; the correlation control module is used to split each segment into multiple groups, read the data cache and the pseudo-code cache, and control the correlation The calculation module performs correlation calculation on each group; the correlation calculation module is used to complete the correlation calculation of each group in real time and in parallel. The invention has low resource utilization rate, strong signal adaptability, flexible parameter setting, and can complete the capture of other navigation signals only by setting different parameters.

Description

technical field [0001] The present invention relates to the technical field of navigation, more specifically, to a satellite navigation signal acquisition system and method based on time division multiplexing technology. Background technique [0002] The acquisition process of navigation signals includes data and pseudo code correlation, time-frequency conversion, post-accumulation, result judgment and other processes. Commonly used capture algorithms include parallel frequency search, parallel code phase search, and time-frequency combination search algorithm. The principles of the three algorithms are the same, and they all perform correlation operations on a certain length of sampled data and local pseudocode. Among them, the segmented coherent algorithm based on time-frequency combination has been widely used in practical applications due to its excellent performance. The basic process of its implementation is as follows: figure 1 shown. Among them, the segmentation co...

AI Technical Summary

Problems solved by technology

The structure based on multi-level correlation tree is composed of data cache, pseudo code cache, correlator and multi-level addition tree. Among them, data cache and pseudo code cache need to use a large number of register resources, and correlator and adder need to use DSP resources. At the same time, the relevant integrals of multiple segments need to be calculated in parallel, that is, multiple segment accumulation units need to be configured, and a large number of registers and DSP resources need to be used. The increase of hardware resources will also cause performance problems such as a significant increase in power consumption.

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