Multi-Link WiFi CSI Calibration for High-Resolution Ranging
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Solution Overview
Problem
Conventional WiFi systems face challenges in providing high-resolution sensing and ranging due to the unavailability of large bandwidth channels, which are often interfered with in dense deployments, leading to uncertainty in mobility detection, gesture recognition, and localization.
Innovation Solution
The method involves calibrating and aggregating channel state information (CSI) across multiple links in multi-link operation systems using channel propagation models to predict CSI data, enabling accurate wireless sensing and ranging with reduced bandwidth by upsampling and domain transformation of CSI data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large bandwidth channels are used to provide high resolution for sensing and ranging, then measurement precision is improved, but device complexity and interference increase in dense deployments
Solution Approach 1:
The patent segments the sensing and ranging function across multiple narrow bandwidth links instead of using a single large bandwidth channel. Each link operates independently with its own CSI collection and calibration process, allowing the system to achieve high resolution through aggregation of multiple segmented measurements rather than requiring a single complex high-bandwidth channel.
Solution Approach 2:
The patent merges CSI data from multiple narrow bandwidth links through calibration and aggregation to achieve the equivalent resolution of a large bandwidth channel. By combining the calibrated CSI measurements from multiple links, the system reconstructs high-resolution delay profiles without requiring any single link to operate at high bandwidth, thus reducing complexity while maintaining precision.
2Measurement precision
If large bandwidth channels are used to distinguish between delay taps, then measurement precision is improved, but reliability deteriorates due to interference and unavailability in dense networks
Solution Approach 1:
The patent divides the sensing function across multiple reliable narrow-bandwidth links that are more likely to be available in dense deployments. Instead of relying on a single large bandwidth channel that may be unavailable or interfered with, the system segments the measurement task across multiple smaller, more reliable links, each of which can be independently calibrated and aggregated to achieve the required delay tap distinction.
Solution Approach 2:
The patent introduces channel propagation models as intermediaries to bridge the gap between narrow bandwidth measurements and high-resolution sensing requirements. These models predict CSI data across the bandwidth, allowing the system to infer high-resolution characteristics from lower-resolution measurements taken on reliable narrow-bandwidth links, thus maintaining measurement precision without requiring direct access to large bandwidth channels.
3Reliability
If narrow bandwidth is used to reduce interference, then reliability is improved, but measurement precision deteriorates
Solution Approach 1:
The patent combines calibrated CSI measurements from multiple narrow bandwidth links to achieve high-resolution sensing. By merging the information from multiple independent narrow-bandwidth measurements, the system reconstructs delay profiles with sufficient resolution for accurate sensing and ranging, thus maintaining measurement precision while relying on reliable narrow-bandwidth channels.
Solution Approach 2:
The patent changes the parameters of the measurement process by collecting CSI across multiple frequency links and time instances, then using channel propagation models to predict and calibrate the data. This parameter transformation approach allows narrow bandwidth measurements to be converted into high-resolution sensing information through mathematical processing and model-based prediction, effectively compensating for the limited bandwidth of individual links.
Data Source
AI summary
Techniques for enhanced wireless sensing or ranging are provided. First and second channel state information (CSI) data, for a first and second link of a plurality of links in a multi-link operation (MLO) system, is collected. A set of channel parameters is estimated, based on the second CSI data, using a channel propagation model. First predicted CSI data for the first link is generated based on the estimated set of channel parameters. The first CSI data is calibrated based on the first predicted CSI data, comprising determining at least one of an amplitude difference or a phase difference between the first CSI data and the first predicted CSI data. Aggregated CSI data is generated based on the calibrated first CSI data and the second CSI data, and at least one of wireless sensing or wireless ranging is performed based on the aggregated CSI data.


