Indoor/Outdoor Wireless Operation Detection via RF Parameter Analysis
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Solution Overview
Problem
Existing technologies struggle to accurately and efficiently determine whether a wireless device is operating indoors or outdoors, which is crucial for regulatory compliance regarding power levels and frequency band usage.
Innovation Solution
A computing system analyzes radio frequency parameters such as channel impulse response, mean excess delay, RMS delay spread, coherence bandwidth, Doppler spread, and MIMO rank to identify indicators of indoor or outdoor signal characteristics, using algorithms like k-NN and naïve Bayes to generate a confidence score for determining the location and tailoring operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless devices manually determine indoor or outdoor status, then regulatory compliance can be achieved, but operational efficiency decreases and manual intervention is required
Solution Approach 1:
The wireless device automatically determines its own indoor or outdoor status by analyzing RF parameters from received signals, eliminating the need for manual determination. The device self-configures its operational parameters based on the determined environment type, achieving both regulatory compliance and operational efficiency through automated self-service.
2Productivity
If wireless devices automatically determine indoor or outdoor status using RF parameter analysis, then operational efficiency improves, but system complexity increases
Solution Approach 1:
The patent replaces manual mechanical determination processes with automated electronic RF parameter analysis. The system uses signal processing algorithms to analyze channel impulse response, delay spread, and other RF characteristics, substituting complex manual procedures with automated computational methods that improve efficiency while managing system complexity through algorithmic approaches.
3Measurement precision
If existing technologies attempt to determine indoor or outdoor status, then location information can be obtained, but accuracy and reliability are insufficient
Solution Approach 1:
The patent changes the approach from simple location detection to multi-parameter RF analysis. By examining channel impulse response, delay spread, signal strength, and other RF characteristics, the system achieves more accurate and reliable determination of indoor versus outdoor environments. The probabilistic classification based on multiple parameters significantly improves measurement precision and reliability compared to existing single-parameter methods.
Data Source
AI summary
Novel tools and techniques are provided for implementing a determination of indoor or outdoor wireless operation. In various examples, a computing system may receive a wireless signal. In some instances, the wireless signal is at least one of a first signal that is received by a target device. The computing system may analyze one or more radio frequency (“RF”) parameters associated with the wireless signal to identify presence of indicators of indoor or outdoor signal characteristics in the wireless signal. The computing system may determine whether the target device is located indoors or outdoors based on the analysis, and may generate a confidence score associated with the determination. The computing system may perform a first set of tasks based on the determined indoor or outdoor location of the target device and the associated confidence score.