Wireless Network Element Location Compensation Using RSSI Difference Models
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Solution Overview
Problem
Existing WiFi-based positioning methods face challenges in achieving accurate location estimation of wireless network elements, particularly in indoor environments, due to variations in received signal strength indication (RSSI) across heterogeneous terminals, which increases costs and reduces positioning accuracy.
Innovation Solution
A method and apparatus that compensate the RSSI received from heterogeneous terminals using a difference value model generated from pre-analyzed characteristics, normalizing the information to estimate the location of wireless network elements more accurately by utilizing a reference terminal's RSSI, and incorporating weighted least square and trilateration methods for precise location estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If RSSI information is collected from heterogeneous terminals for location estimation, then the coverage and data availability are improved, but the positioning accuracy deteriorates due to terminal-specific RSSI variations
Solution Approach 1:
The patent transforms the RSSI parameter by applying terminal-specific compensation values. Each heterogeneous terminal has pre-calibrated compensation parameters that adjust its RSSI measurements to match a reference terminal's characteristics. This parameter transformation eliminates terminal-specific variations while preserving the spatial information content, thereby maintaining positioning accuracy across diverse terminal types.
Solution Approach 2:
The patent introduces a reference terminal as an intermediary standard. All heterogeneous terminals are compensated relative to this reference terminal's RSSI characteristics. The compensation mechanism acts as a mediator that translates measurements from different terminal types into a common reference frame, enabling accurate comparison and location estimation without requiring each terminal to inherently produce identical measurements.
2Measurement precision
If fingerprinting method is used to improve terminal positioning accuracy, then the positioning precision is improved, but the cost increases due to periodic recollection requirements
Solution Approach 1:
The patent performs preliminary calibration during the terminal manufacturing or initial setup phase, where each terminal's RSSI characteristics are measured and compensated values are pre-calculated and stored. This preliminary action eliminates the need for periodic recollection and recalibration, as the compensation parameters remain valid across different environments. The system achieves high positioning accuracy using these pre-computed parameters without requiring repeated expensive data collection campaigns.
3Productivity
If wardriving method is used to quickly collect WiFi scan information, then the data collection speed is improved, but the location estimation accuracy deteriorates to about 10m to 20m
Solution Approach 1:
The patent applies parameter transformation to the RSSI measurements collected during rapid wardriving operations. By compensating each terminal's RSSI values using pre-calibrated parameters, the system maintains measurement precision even when collected quickly during movement. This allows the system to achieve both high data collection speed and accurate location estimation, breaking the trade-off between speed and precision that plagues traditional wardriving methods.
Data Source
AI summary
A method and apparatus for compensating an estimated location of a wireless network element from information collected by heterogeneous terminals are provided. The method may include receiving information on a received signal strength indication (RSSI) of a wireless network element and location information of a heterogeneous terminal from the heterogeneous terminal by a wireless network element positioning server, compensating the information on the RSSI received from the heterogeneous terminal into information on an RSSI received from a predetermined reference terminal, using a difference value model of the RSSI of the wireless network element between heterogeneous terminals, the difference model generated in advance, and estimating a location of the wireless network element using the compensated information on the RSSI from the reference terminal and the received location information.