Correlation Sequence Puncturing for Accurate Wireless Distance Measurement
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Solution Overview
Problem
Existing high accuracy distance measurement (HADM) methods in wireless devices suffer from limited resolution due to limited oversampling rates, leading to inaccuracies in distance estimation between devices.
Innovation Solution
A method and apparatus that involve generating a random correlation sequence, analyzing predetermined tuple patterns, and selectively puncturing bits based on pattern counts to improve distance measurement accuracy without increasing oversampling rate or power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a limited oversampling rate is used in channel sounding, then power consumption and device complexity are reduced, but distance measurement precision deteriorates
Solution Approach 1:
The patent extracts and removes specific bits from the correlation sequence that cause bias in distance measurements. By identifying and puncturing the problematic bits based on predetermined tuple patterns, the method eliminates the source of measurement error without needing to increase oversampling rate, thus improving precision without additional power consumption
Solution Approach 2:
The patent changes the structure of the correlation sequence by selectively puncturing bits based on the counts of predetermined tuple patterns. This parameter modification approach transforms the original sequence into a punctured version that reduces bias effects, achieving improved measurement precision while maintaining the same oversampling rate and power consumption levels
2Measurement precision
If a limited oversampling rate is used in channel sounding, then device complexity is reduced, but distance measurement precision deteriorates
Solution Approach 1:
The patent extracts and removes specific bits from the correlation sequence that cause bias in distance measurements. By identifying and puncturing the problematic bits based on predetermined tuple patterns, the method eliminates the source of measurement error without needing to increase oversampling rate, thus improving precision without additional device complexity
Solution Approach 2:
The patent changes the structure of the correlation sequence by selectively puncturing bits based on the counts of predetermined tuple patterns. This parameter modification approach transforms the original sequence into a punctured version that reduces bias effects, achieving improved measurement precision while maintaining the same device complexity
3Measurement precision
If the correlation sequence is punctured based on tuple pattern counts, then distance measurement accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis of the correlation sequence to count predetermined tuple patterns before the actual distance measurement process. By pre-identifying which bits to puncture based on these pattern counts, the method prepares the optimized sequence in advance, reducing bias effects while minimizing the time impact on the main measurement process
Data Source
AI summary
In one embodiment, a method includes: generating, in a baseband processor of a receiver, a random correlation sequence; determining a first number of a first type of a predetermined tuple pattern present in the random correlation sequence, and determining a second number of a second type of the predetermined tuple pattern present in the random correlation sequence; and based at least in part on the first and second numbers, puncturing a bit of the random correlation sequence.