Samsung electronics co., ltd. (20240356616). WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS simplified abstract
Contents
- 1 WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about WiFi CSI Preprocessing for Sensing Applications
- 1.11 Original Abstract Submitted
WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS
Organization Name
Inventor(s)
Vishnu Vardhan Ratnam of Plano TX (US)
Abhishek Sehgal of Frisco TX (US)
Hao-Hsuan Chang of Plano TX (US)
Jianzhong Zhang of Dallas TX (US)
WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240356616 titled 'WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS
Simplified Explanation
The patent application describes methods and apparatuses for preprocessing WiFi Channel State Information (CSI) for sensing applications. This involves correcting errors in gain and phase caused by device impairments or synchronization issues, as well as filtering out variations caused by unintended signals.
- The method involves receiving a sequence of frames and obtaining CSI for each frame.
- It then identifies variations in the CSI set caused by device impairments, synchronization issues, or unintended signals.
- A preprocessing procedure corrects errors in gain and phase, filters out variations caused by unintended signals, and identifies outliers or variations that affect sensing tasks.
Key Features and Innovation
- Preprocessing WiFi CSI for sensing applications.
- Correcting errors in gain and phase caused by device impairments or synchronization issues.
- Filtering out variations caused by unintended signals.
- Identifying outliers or variations that affect sensing tasks.
Potential Applications
This technology can be applied in various sensing applications such as environmental monitoring, smart home systems, and industrial automation.
Problems Solved
- Correcting errors in WiFi CSI caused by device impairments and synchronization issues.
- Filtering out variations caused by unintended signals.
- Identifying outliers or variations that affect sensing tasks.
Benefits
- Improved accuracy and reliability of sensing applications.
- Enhanced performance in environments with potential signal interferences.
- Increased efficiency in data processing and analysis.
Commercial Applications
- WiFi CSI Preprocessing for Sensing Applications: Enhancing Data Accuracy and Reliability
This technology can be utilized in industries such as IoT, smart cities, healthcare, and agriculture for real-time monitoring and analysis.
Questions about WiFi CSI Preprocessing for Sensing Applications
How does WiFi CSI preprocessing improve the accuracy of sensing applications?
Preprocessing corrects errors in gain and phase caused by device impairments or synchronization issues, ensuring more accurate data for sensing tasks.
What are the potential commercial uses of WiFi CSI preprocessing technology?
The technology can be applied in various industries for real-time monitoring, data analysis, and automation processes, enhancing efficiency and reliability.
Original Abstract Submitted
methods and apparatuses for wifi csi preprocessing for sensing applications are provided. a method of wireless communication performed by a sta comprises: receiving a sequence of frames; obtaining a csi set, comprising the csi for each of the frames; determining one or more variations in the csi set caused by at least one of a device impairment, a synchronization issue, or an unintended signal; performing a preprocessing procedure configured to: correct one or more errors in gain and phase of each csi of the csi set caused by at least one of the device impairment or the synchronization issue, and filter at least one variation caused by the unintended signal; and identifying at least one of an outlier or a variation in csi set that affects a sensing task, and performing at least one preprocessing operation configured to filter the outlier or the variation in csi set.