Qualcomm incorporated (20240137902). INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION simplified abstract
Contents
- 1 INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION
Organization Name
Inventor(s)
Mehmet Izzet Gurelli of San Diego CA (US)
Junyi Li of Fairless Hills PA (US)
Navid Abedini of Basking Ridge NJ (US)
Ozge Koymen of Princeton NJ (US)
INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137902 titled 'INTELLIGENT REFLECTIVE SURFACE AIDED POSITIONING BY CONVEX OPTIMIZATION
Simplified Explanation
The patent application describes a method for wireless communication to determine the position of a wireless node by receiving reference signals from multiple positioning devices, calculating signal propagation delays, and solving a convex localization problem based on this data.
- Receiving reference signals from at least four positioning devices
- Determining signal propagation delays of the reference signals
- Obtaining the position of each positioning device
- Solving a convex localization problem for the wireless node
- Determining the position of the wireless node based on the solution of the convex localization problem
Potential Applications
This technology could be applied in various industries such as:
- Indoor navigation systems
- Asset tracking in warehouses
- Emergency response systems
Problems Solved
This technology addresses the following issues:
- Accurate positioning in non-line-of-sight environments
- Improved location accuracy in complex indoor spaces
Benefits
The benefits of this technology include:
- Enhanced wireless communication for location-based services
- Increased accuracy in determining the position of wireless devices
Potential Commercial Applications
The potential commercial applications of this technology include:
- Smart home automation systems
- Retail store analytics for customer tracking
- Industrial IoT for asset management
Possible Prior Art
One possible prior art for this technology could be the use of trilateration or multilateration techniques for wireless node positioning.
What are the limitations of this technology in terms of accuracy and scalability?
This technology may face limitations in terms of accuracy in highly dense or complex environments where signal interference can affect the precision of positioning calculations. Additionally, scalability could be a concern when dealing with a large number of wireless nodes, as the computational complexity of solving the convex localization problem may increase significantly.
How does this technology compare to existing methods of wireless node positioning in terms of cost-effectiveness and implementation complexity?
Compared to existing methods, this technology may offer improved accuracy and reliability in determining the position of wireless nodes. However, the implementation complexity and cost-effectiveness of deploying multiple positioning devices for reference signals could be a factor to consider when evaluating the feasibility of adopting this technology.
Original Abstract Submitted
disclosed is a method for wireless communication for determining the position of a wireless node. the method comprises receiving a set of reference signals from a set of at least four positioning devices, wherein the positioning devices are not arranged in a single plane. a signal propagation delay of each one of the set of reference signals is determined and a position of each one of the set of positioning devices is obtained. a convex localization problem is solved for the wireless node based at least in part on the determined signal propagation delay of each one of the set of reference signals and the position of each one of the set of positioning devices. the position of the wireless node is determined based at least in part on solving of the convex localization problem.
