Compressed Sensing for Navigation Data Sampling
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Solution Overview
Problem
Current navigation systems require sampling positioning signals at a Nyquist sampling rate, which is wasteful of processing resources and burdens network transmission, as data is often compressed post-sampling.
Innovation Solution
Applying compressed sensing techniques to sample positioning signals at a sub-Nyquist sampling rate, allowing for compressed sampling and subsequent reconstruction to obtain navigation information, reducing data size and processing burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning signals are sampled at Nyquist sampling rate, then signal accuracy is maintained, but processing resources and network transmission burden increase
Solution Approach 1:
The patent changes the sampling rate parameter from Nyquist rate to sub-Nyquist rate, enabling compressed sampling that reduces data volume while maintaining sufficient accuracy for navigation applications through subsequent reconstruction algorithms
Solution Approach 2:
The patent extracts only the essential information from positioning signals through compressed sampling, removing redundant data that would otherwise require full Nyquist-rate sampling, thereby reducing processing burden while preserving navigation accuracy
2Loss of information
If positioning signals are sampled at Nyquist sampling rate, then complete signal information is captured, but data size and network transmission burden increase
Solution Approach 1:
The patent applies compressed sensing to sample at sub-Nyquist rates, changing the sampling parameter to reduce data quantity while using reconstruction algorithms to recover complete navigation information, thus reducing data size without significant information loss
Solution Approach 2:
The patent uses partial sampling (sub-Nyquist) that captures only the essential portions of the signal needed for navigation, rather than sampling at full Nyquist rate, achieving sufficient information capture with reduced data volume
3Productivity
If compressed sampling is applied at sub-Nyquist rate, then data size and processing resources are reduced, but signal reconstruction complexity increases
Solution Approach 1:
The patent introduces reconstruction algorithms as an intermediary process that bridges the gap between compressed sub-Nyquist sampling and full navigation information, enabling efficient processing while managing reconstruction complexity through specialized algorithms
Data Source
AI summary
Methods, apparatuses, and systems are provided for processing positioning signals to obtain navigation information by applying compressed sensing.