Wi-Fi Station Device Angle of Arrival Triangulation Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing indoor positioning systems (IPS) face limitations in accuracy and user-friendliness, particularly with GPS-trilateration-based systems requiring technical skills for coordinate setting and fingerprinting-based systems needing time-consuming database establishment and frequent updates.
Innovation Solution
A Wi-Fi IPS based on angle of arrival (AoA) triangulation, using two antennas to calculate angles of arrival from multiple access points, allowing for precise positioning without requiring absolute coordinates or frequent database updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If GPS-trilateration-based indoor positioning is used, then positioning can be implemented, but it requires absolute coordinates of reference positions which need technical skills to set manually or have doubtful accuracy when set automatically
Solution Approach 1:
The patent replaces the mechanical/manual coordinate setting process with an automated system that uses RSSI measurements and triangulation mathematics to calculate positions. The system substitutes human technical skill requirements with automated signal processing and mathematical computation, allowing users without technical expertise to achieve accurate positioning.
Solution Approach 2:
The system performs self-positioning by automatically measuring RSSI values from multiple access points and computing its own location through triangulation. The device serves itself by eliminating the need for external coordinate configuration, automatically acquiring positioning data and calculating its position without human intervention.
2Adaptability or versatility
If fingerprinting-based indoor positioning is used, then absolute coordinates are not required, but the fingerprint database establishment stage is time-consuming and RSSI values must be updated whenever access points are replaced or added
Solution Approach 1:
The patent implements a dynamic positioning system that continuously updates position calculations in real-time based on current RSSI measurements, replacing the static fingerprint database approach. Instead of requiring periodic database recreation and updates, the system dynamically computes positions on-demand using current signal measurements and triangulation mathematics.
Solution Approach 2:
The system replaces the mechanical process of database establishment and maintenance with automated real-time signal processing. Instead of manually or systematically collecting and storing RSSI fingerprints at predetermined locations, the system uses mathematical triangulation based on real-time measurements from multiple access points, eliminating the need for time-consuming database operations.
3Adaptability or versatility
If fingerprinting-based indoor positioning is used, then positioning can be implemented without absolute coordinates, but the RSSI values stored in the fingerprint database must be updated whenever any access point is replaced or added
Solution Approach 1:
The patent replaces the mechanical database maintenance process with automated real-time triangulation calculations. Instead of requiring systematic updates to fingerprint databases when access points change, the system continuously computes positions using current RSSI measurements and mathematical algorithms, eliminating the need for periodic maintenance operations.
Solution Approach 2:
The system maintains continuous positioning capability through real-time signal processing and on-demand triangulation calculations. Instead of relying on periodic database updates, the system continuously measures RSSI values from multiple access points and computes positions in real-time, ensuring uninterrupted and adaptive positioning functionality.
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
This method provides high-accuracy and reliable indoor positioning with ease of implementation, compatible with legacy Wi-Fi systems and reducing the need for frequent database updates.
Implementation Method 1
The first antenna receives a first-first Wi-Fi signal and a second-first Wi-Fi signal. The first-first Wi-Fi signal is transmitted along a first-first transmission path, and the second-first Wi-Fi signal is transmitted along a second-first transmission path. The second antenna receives a first-second Wi-Fi signal and a second-second Wi-Fi signal.
Implementation Method 2
The communication interface calculates a first angle of arrival based on a separation distance between the first antenna and the second antenna and a first path difference between the first-first Wi-Fi signal and the first-second Wi-Fi signal. The communication interface calculates a second angle of arrival based on the separation distance and a second path difference between the second-first Wi-Fi signal and the second-second Wi-Fi signal.
Implementation Method 3
The control circuit performs a triangulation calculation to estimate a coordinate position of the station device based on the first angle of arrival, the second angle of arrival, a coordinate position of the first access point device, and a coordinate position of the second access point device.
Data Source
AI summary
A station device, a Wi-Fi system, and an associated positioning method are provided. The Wi-Fi system includes an AP1 device, an AP2 device, and the station device. The AP1 and the AP2 devices respectively transmit a first Wi-Fi signal and a second Wi-Fi signal. The station device receives a first-first Wi-Fi signal and a first-second Wi-Fi signal originating from the AP1 device. The station device receives a second-first Wi-Fi signal and a second-second Wi-Fi signal originating from the AP2 device. A first angle of arrival is estimated based on the first-first Wi-Fi signal and first-second Wi-Fi signal, and a second angle of arrival is estimated based on the second-first Wi-Fi signal and the second-second Wi-Fi signal. Based on the first angle of arrival, the second angle of arrival, and coordinate positions of the AP1 and AP2 devices, the station device performs a triangulation calculation to estimate its coordinate position.