Multi-Carrier Signal Phase Compensation for WLAN Sensing
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Solution Overview
Problem
In wireless local area network (WLAN) sensing, multi-carrier signals used for imaging passive or active targets suffer from low signal-to-noise ratios due to large phase differences, which hinders effective imaging.
Innovation Solution
A multi-carrier signal processing method that compensates the first multi-carrier signal based on its channel state information phase difference to obtain a second multi-carrier signal with zero phase difference, thereby reducing group delay and improving signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a multi-carrier signal is used for imaging passive or active targets in near-field scenarios, then imaging capability is achieved, but the signal-to-noise ratio becomes low due to large phase differences
Solution Approach 1:
The patent applies parameter changes by adjusting the phase of each subcarrier based on its frequency and the observed phase differences. Specifically, a phase compensation factor is calculated for each subcarrier and applied to correct the phase distortion, thereby improving the signal-to-noise ratio while maintaining imaging capability
Solution Approach 2:
The patent implements feedback by using the received signal to estimate the phase differences and then applying compensation based on these estimates. The phase difference information is fed back into the processing system to generate compensation factors that improve the signal quality in subsequent processing steps
2Reliability
If phase compensation is performed on the multi-carrier signal, then the signal-to-noise ratio is improved, but the processing complexity increases
Solution Approach 1:
The patent applies segmentation by processing each subcarrier independently through the phase compensation process. The phase compensation is performed on individual subcarriers rather than the entire signal simultaneously, which reduces the computational complexity while still achieving the desired signal-to-noise ratio improvement
Solution Approach 2:
The patent uses parameter changes by applying phase rotation factors that are calculated based on simple mathematical operations (multiplication by complex exponentials). This approach improves the signal-to-noise ratio through parameter adjustment rather than complex signal processing operations
Data Source
AI summary
This application provides example multi-carrier signal processing methods and example related apparatuses. One example method includes obtaining a first multi-carrier signal. Compensation is performed on the first multi-carrier signal based on a channel state information phase difference of the first multi-carrier signal to obtain a second multi-carrier signal, where a channel state information phase difference of the second multi-carrier signal is zero, or a phase difference of the second multi-carrier signal is zero.