Wireless Device Position Estimation with Channel-Aware Scanning
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Solution Overview
Problem
Existing position estimation systems for wireless devices face challenges in achieving high accuracy and speed due to the need for balancing network performance with the frequency of scanning observation channels, which affects the availability of communication status data from multiple base stations.
Innovation Solution
A position estimation system that differentiates between communication and observation channels for signal strength measurement, allowing high-frequency scanning on the communication channel with the currently connected base station and low-frequency scanning on observation channels for other base stations, combined with a trained model for position estimation when sufficient data is not available.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency scanning is performed on observation channels to collect communication status data from multiple base stations, then position estimation accuracy is improved, but network performance deteriorates
Solution Approach 1:
The patent segments the scanning operation into two distinct types: high-frequency scanning on the communication channel (current base station) and low-frequency scanning on observation channels (other base stations). This segmentation allows the system to collect necessary position estimation data while minimizing disruption to network communication, thereby resolving the contradiction between measurement precision and network performance reliability.
Solution Approach 2:
The patent applies different scanning frequencies to different channels based on their specific functions: high-frequency scanning for the communication channel where data collection is critical for position estimation, and low-frequency scanning for observation channels where network performance must be preserved. This local differentiation of scanning quality resolves the contradiction by tailoring scanning intensity to local requirements.
2Productivity
If frequent scanning of observation channels is performed to obtain communication status data, then position estimation speed is improved, but network performance degradation increases
Solution Approach 1:
The patent divides scanning operations into communication channel scanning (high-frequency) and observation channel scanning (low-frequency). This segmentation enables the system to maintain fast position estimation capability through frequent communication channel scanning while avoiding network performance degradation by limiting observation channel scanning to lower frequencies.
Solution Approach 2:
The patent applies partial scanning action to observation channels (low-frequency scanning) compared to communication channels (high-frequency scanning). By performing only the necessary minimum scanning on observation channels, the system achieves sufficient position estimation data without causing excessive network performance degradation, thus improving productivity while maintaining reliability.
3Measurement precision
If scanning frequency is increased to collect sufficient signal strength data, then position estimation accuracy is improved, but network performance deteriorates
Solution Approach 1:
The patent segments scanning operations by channel type: high-frequency scanning for communication channels to gather accurate signal strength data for position estimation, and low-frequency scanning for observation channels to minimize network impact. This segmentation resolves the contradiction by concentrating frequent scanning where it is most effective for accuracy while limiting scanning where it would harm network performance.
Solution Approach 2:
The patent applies different scanning intensities to different channels based on their local functions. Communication channels receive high-frequency scanning to maximize data collection for position estimation accuracy, while observation channels receive low-frequency scanning to preserve network performance. This local quality differentiation resolves the contradiction between measurement precision and network reliability.
Data Source
AI summary
According to one embodiment, a position estimation system includes a processor. The processor is configured to acquire first communication status data between a first wireless device and each of multiple second wireless devices, perform a first estimation process to estimate a position of the first wireless device using the first communication status data, and perform a second estimation process to estimate the position of the first wireless device using an output of a trained model. The first communication status data is acquired at different intervals depending on a channel. The first or second estimation process is selected based on the first communication status data. The trained model is built by using the training data including second communication status data.