Skip Navigation
Search
Back to Search Innovations
Method and Apparatus for Passive Wireless Channel Estimation in Radio Frequency Network
For estimation of wireless communication channel characteristics between (at least) two passive radio frequency nodes using BCSI measurement
Header image is purely illustrative. Source: fizkes, stock.adobe.com

Background

Radio frequency Identification (RFID) tags usually exist as either active or passive tags; active tags have an actively powered transceiver, while passive tags are powered through harvested ambient energy. Passive tag-to-tag communication is a relatively new desirable technology. Efforts to advance this technology have been made through electromagnetic models. These efforts aimed at improved range of tag-to-tag link, improved hardware for tags, and making the backscattering communication principle more accessible to large scale applications of RFID systems. Current methods and systems face issues such as high infrastructure cost and high energy cost of active radios for wireless channel estimation.

Technology

This technology is a tag for identification and tracking of objects. This tag has the ability to operate using harvested RF energy from either dedicated exciters, or ambient RF energy, eliminating the need for batteries. The tag has very low power consumption and uses back-scattering principles of communication for activity recognition, which is accomplished through multi-phase probing of the channel. Due to this, expensive RFID readers are unnecessary.

Advantages

-Improved rate of data communication -Improved robustness -Reduced bit error rate

Application

Wireless communications between passive Radio Frequency devices

Inventors

Milutin Stanacevic, Associate Professor, Electrical Engineering
Samir Das, Professor, Computer Science
Petar Djuric, Professor, Electrical Engineering
Akshay Athalye, Research Associate, Electrical Engineering
Jihoon Ryoo, Assitant Professor, Computer Science
Yasha Karimi, Adjunct Research Professor (till 9/2023) Iota Biosciences, Electrical Engineering

Licensing Potential

Commercial partner,Licensing,Development partner

Licensing Status

Available for licensing.

Licensing Contact

James Martino, Licensing Specialist, Intellectual Property Partners, james.martino@stonybrook.edu,

Patent Status

Patent Application Published: US 2021/0248335

PCT/US19/35542

Tech Id

050-9001