GNSS Receiver Correlator Groups for Continuous Wave Interference Detection
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Solution Overview
Problem
Existing GNSS receivers face challenges in detecting and correcting continuous wave interference, which can bias measurements and lead to a loss of integrity and availability, especially in environments with multiple interference sources, without increasing complexity or cost.
Innovation Solution
A method and device using a single antenna and computing means to detect continuous wave interference by calculating groups of tracking and isolated correlators, estimating phase shifts, and applying a likelihood criterion to correct the interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If diversity of antennas is used to detect continuous wave interference, then detection reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent segments the correlation processing into multiple groups of correlators (first group, second group, third group) with different lag values. Each group processes the received signal independently and provides specific detection capabilities. This segmentation allows the system to detect continuous wave interference using a single antenna by distributing the detection function across multiple correlator groups rather than requiring multiple antennas.
Solution Approach 2:
The patent introduces a new dimension of analysis by processing the signal through multiple correlator groups with different lag values (first lag value, second lag value, third lag value). This creates additional processing dimensions that enable interference detection without requiring additional physical antennas, thus improving reliability while maintaining device complexity.
2Measurement precision
If multiple correlator groups are calculated, then interference detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining the lag values for the different correlator groups (first lag value, second lag value, third lag value) and pre-establishing the correlation processing structure. This allows the system to quickly process interference detection without time-consuming computations during the actual detection phase, improving accuracy while minimizing processing time.
Solution Approach 2:
The patent maintains continuous useful action by continuously calculating the correlation products for all three correlator groups in parallel during the tracking phase. The system continuously monitors the correlation results and compares them against threshold values, enabling real-time interference detection without interruption to the GNSS signal processing workflow.
3Difficulty of detecting and measuring
If conventional interference detection techniques are used, then detection capability is provided, but reaction time is relatively long
Solution Approach 1:
The patent implements feedback mechanisms by continuously comparing the correlation product values from the different correlator groups against predetermined threshold values. When interference is detected, the system immediately feeds back this information to correct the position, velocity, and/or time measurements. This rapid feedback loop enables the system to respond quickly to interference events and maintain detection capability with minimal reaction time.
Data Source
AI summary
A method for detecting an interfering signal in a GNSS receiver, including calculating k groups of isolated correlators over an integration interval, each group of isolated correlators being composed of the same number and same types of correlators as a tracking group of correlators, the correlators of each group of isolated correlators being ahead of or behind the corresponding correlators of the tracking group, determining a plurality of consecutive phase shifts between the punctual correlators of the groups of isolated correlators, estimating a mean phase shift between the correlators inside the groups of isolated correlators, and detecting an interfering signal by applying a likelihood criterion.


