Positioning Information Correction via Benchmark Channel Segmentation
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Solution Overview
Problem
In mobile communication systems, positioning information from non-benchmark channels is often corrupted due to interference, leading to inaccurate position estimates, especially in carrier aggregation scenarios where co-channel interference is prevalent, making it difficult to decode positioning reference signals correctly.
Innovation Solution
The method involves identifying high-quality benchmark channels, determining their propagation responses, generating a common benchmark channel response, estimating and modifying non-benchmark channel responses to correct for interference, and combining these to generate improved positioning information samples, thereby enhancing position estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If positioning information is obtained from multiple channels including non-benchmark channels, then the quantity of positioning data is increased, but the accuracy of position estimation deteriorates due to interference and corruption in non-benchmark channels
Solution Approach 1:
The patent segments the channels into benchmark channels (high quality) and non-benchmark channels (lower quality, potentially corrupted). This segmentation allows the system to treat different channels differently - using benchmark channels for reliable positioning data and non-benchmark channels for supplementary data after correction, thereby maintaining both quantity and accuracy.
Solution Approach 2:
The patent introduces an intermediary correction process that uses benchmark channel information to estimate and correct positioning data from non-benchmark channels. The common benchmark channel response acts as a mediator to reconstruct and clean corrupted positioning information, enabling the system to utilize multiple channels without sacrificing accuracy.
2Device complexity
If positioning information from non-benchmark channels is used directly, then processing complexity is reduced, but positioning accuracy deteriorates due to interference and band-specific non-linearities
Solution Approach 1:
The patent performs preliminary actions by first identifying benchmark channels and determining their common response characteristics before processing non-benchmark channels. This preliminary characterization of benchmark channels enables subsequent correction of non-benchmark channel data, improving accuracy without requiring complex real-time analysis of all channels.
Solution Approach 2:
The patent changes parameters by estimating band-specific non-linearities and interference characteristics from benchmark channels, then applying these parameter estimates to correct non-benchmark channel positioning information. This transforms raw corrupted data into corrected data by adjusting for known distortion patterns.
3Device complexity
If all channels are treated equally in positioning processing, then system simplicity is maintained, but positioning reliability deteriorates due to interference in carrier aggregation scenarios
Solution Approach 1:
The patent applies local quality by treating different channels with different processing approaches based on their individual characteristics. Benchmark channels with high quality are used directly for positioning, while non-benchmark channels undergo correction processing. This localized differentiation maintains overall system simplicity while significantly improving reliability through targeted quality-based processing.
Data Source
AI summary
A method, apparatus and computer program is described comprising: obtaining samples of received positioning information from each of a plurality of channels; identifying one or more of said channels as benchmark channels; determining a benchmark channel response representative of channel propagation conditions for the or each benchmark channel; generating a common benchmark channel response based on said benchmark channel responses; estimating channel responses for some or all non-benchmark channels; modifying positioning information samples of at least some of the non-benchmark channels to generate corrected positioning information samples; and combining the positioning information samples of said one or more benchmark channels and the one or more corrected positioning information samples to generate combined positioning information samples.