Wireless Location Compensation Using Device Orientation and Accelerometer Data
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Solution Overview
Problem
Existing location determination methods for wireless devices face challenges in achieving high accuracy, especially indoors or without GPS support, due to noise and fading effects, and rely on infrastructure or special sensors, leading to long resolution times and reliance on noisy data.
Innovation Solution
The method dynamically adapts location determination by using device orientation, attitude, and movement data to apply compensation, leveraging compass and accelerometer sensors, and WiFi signal strength tri-lateration techniques, allowing for more accurate and rapid location estimation both indoors and outdoors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wireless location determination methods are used, then location can be determined without special infrastructure, but location accuracy is poor due to noise and fading effects
Solution Approach 1:
The patent changes the parameters used for location determination from raw signal strength measurements to compensated signal strength values that account for device orientation and movement. By transforming the measurement parameters through compensation calculations, the system achieves higher location accuracy while mitigating the harmful effects of noise and fading.
Solution Approach 2:
The system uses feedback from device sensors (accelerometer, compass) to continuously adjust and compensate location measurements. The movement and orientation data provide feedback about device state changes, which are then used to correct signal strength measurements in real-time, improving overall measurement precision.
2Measurement precision
If more measurements and recalculations are performed to improve location accuracy, then location error reduces, but power consumption increases
Solution Approach 1:
The patent implements dynamic compensation that adapts the measurement and calculation process based on device state. Instead of continuously performing expensive recalculations, the system dynamically adjusts compensation based on actual device movement and orientation changes, achieving accurate location determination with reduced computational overhead and lower power consumption.
Solution Approach 2:
The system changes from performing multiple full location recalculations to applying compensation adjustments based on sensor data. This parameter transformation approach reduces the computational complexity from O(n) measurements to O(1) compensation calculations, significantly reducing power consumption while maintaining location precision.
3Measurement precision
If device orientation and movement compensation is applied, then location accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces sensor data (accelerometer, compass) as intermediary elements that mediate between raw signal strength measurements and final location calculation. These intermediaries provide orientation and movement information that simplifies the compensation process, achieving higher accuracy without directly increasing the complexity of the core location determination algorithm.
Data Source
AI summary
Determining a location estimate of a wireless communications device can depend on the dynamic and/or static state of the device. Compensation processing is applied to a location estimate (or to information from which such an estimate is derived, in use) if required, given the dynamic and/or static state of the device.