Cabin Wi‑Fi Localization Using Signal Propagation Data
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Solution Overview
Problem
Current indoor localization methods for vehicle cabins require additional equipment, which adds weight and certification costs, necessitating a simpler, cost- and weight-efficient solution.
Innovation Solution
Utilize existing wireless communication infrastructure in vehicle cabins, such as aircraft, to passively locate objects by analyzing signal propagation data, including CSI, using machine learning algorithms to extract localization data without additional electronics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional equipment is installed for indoor localization, then localization functionality is achieved, but weight and certification costs increase
Solution Approach 1:
The patent reuses the existing wireless access points originally designed for internet connectivity and makes them serve a dual function by enabling them to perform localization tasks through signal propagation analysis, thereby eliminating the need for separate localization hardware
Solution Approach 2:
The wireless communication infrastructure serves itself by using its own transmitted signals for localization purposes, analyzing the signal propagation data generated during normal communication operations without requiring external dedicated localization equipment
2Reliability
If additional equipment is installed for indoor localization, then localization functionality is achieved, but system complexity and certification requirements increase
Solution Approach 1:
The existing wireless access points are programmed to perform both their original communication function and the new localization function, reducing system complexity by consolidating multiple functions into a single existing infrastructure rather than adding separate dedicated systems
Solution Approach 2:
The patent uses the existing wireless signal infrastructure as an intermediary carrier that simultaneously performs communication and localization functions, avoiding the need for separate dedicated localization hardware and reducing overall system complexity
3Measurement precision
If additional equipment is installed for indoor localization, then localization accuracy is improved, but cost increases
Solution Approach 1:
The patent uses inexpensive, readily available wireless access points that are already deployed throughout the environment for their primary communication purpose, eliminating the need to purchase and install expensive dedicated localization equipment
Solution Approach 2:
By making the existing wireless access points multi-functional, the patent avoids additional hardware costs entirely, as the same infrastructure serves both communication and localization purposes without requiring separate equipment purchases
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables object localization without extra equipment, reducing workload and turnaround times, and enhancing deployment and maintenance efficiency in vehicle cabins.
Implementation Method 1
acquire signal propagation data of wireless signals transmitted over the wireless communication network along multiple propagation paths
Implementation Method 2
analyzing the signal propagation data and extracting localization data from the signal propagation data, the localization data specifying the position of objects
Data Source
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Figure 4
AI summary
A system for object localization in an indoor environment, such as a passenger cabin of a vehicle, in particular of an aircraft, comprises a wireless communication infrastructure adapted to facilitate wireless communication within the indoor environment via a wireless communication network and comprising at least one wireless access point adapted to provide user devices access to the wireless communication network within the indoor environment, wherein the wireless access point is further adapted to acquire signal propagation data of wireless signals transmitted over the wireless communication network along multiple propagation paths; and a computing element configured to analyze the signal propagation data and extract localization data from the signal propagation data, the localization data specifying the position of objects located within the indoor environment.