Adaptive Pilot Signal Bandwidth Filtering for Mobile Positioning
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Solution Overview
Problem
Current mobile device positioning methods using pilot signals from base stations face accuracy issues due to varying bandwidths of these signals over time, leading to potential noise and measurement errors.
Innovation Solution
Determining and filtering pilot signals using multiple bandwidths corresponding to different times of reception, with the most recent bandwidth used for accurate positioning parameter calculation, allowing for improved signal reception and reduced noise, thereby enhancing positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pilot signals are measured without adapting to bandwidth changes, then measurement process is simple, but positioning accuracy deteriorates due to noise and measurement errors
Solution Approach 1:
The patent applies dynamics by making the filtering bandwidth adaptive rather than fixed. The mobile device determines the current bandwidth of the pilot signal and dynamically adjusts the filtering bandwidth accordingly. This allows the measurement system to adapt to changing signal conditions, improving positioning accuracy while managing complexity through intelligent adaptation.
Solution Approach 2:
The patent changes the parameter of filtering bandwidth to match the pilot signal bandwidth. By determining the pilot signal bandwidth and adjusting the filtering bandwidth parameter accordingly, the system optimizes signal-to-noise ratio and measurement accuracy. This parameter adaptation resolves the contradiction by making the measurement process accurate without requiring completely complex alternative systems.
2Measurement precision
If fixed bandwidth filtering is used, then processing is straightforward, but measurement accuracy worsens due to mismatched bandwidths over time
Solution Approach 1:
The system transitions from static fixed bandwidth filtering to dynamic adaptive filtering. The mobile device continuously determines the pilot signal bandwidth and adjusts the filtering bandwidth in real-time, enabling the system to adapt to bandwidth changes over time and maintain measurement accuracy throughout the positioning process.
Solution Approach 2:
The patent implements feedback by using the determined pilot signal bandwidth information to adjust the filtering bandwidth. This closed-loop approach ensures that the filtering operation always matches the current signal characteristics, improving measurement accuracy while maintaining adaptability to changing conditions.
Data Source
AI summary
A mobile device position determination method includes: determining a plurality of bandwidths of a pilot signal corresponding to different times at which the pilot signal is received by a mobile device from a base station, the plurality of bandwidths of the pilot signal including a first bandwidth corresponding to a first time at which the pilot signal is received and a second bandwidth corresponding to a second time at which the pilot signal is received, the second time being after the first time; filtering the pilot signal using the second bandwidth; determining a positioning parameter from the pilot signal filtered using the second bandwidth; and determining a position of the mobile device using the positioning parameter.