LOS Path Discrimination via Delay Analysis
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Solution Overview
Problem
Current communication systems face challenges in accurately identifying line of sight (LOS) and non-line of sight (NLOS) paths, which affects position determination and localization accuracy, especially in environments with multipath scenarios where assumptions of LOS connections may not be valid.
Innovation Solution
The system receives and classifies synchronization symbol blocks based on delay relative to expected reception time, identifies candidate LOS paths, and provides a beam index or delay correction factor to distinguish between LOS and NLOS paths, using techniques such as channel impulse response analysis and power ranking to determine the shortest and most likely LOS path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If algorithms assume LOS paths for position determination, then localization can be performed using standard algorithms, but localization accuracy deteriorates in multipath environments where NLOS paths are present
Solution Approach 1:
The patent segments the received signal paths into LOS and NLOS components by analyzing delay characteristics of synchronization symbol blocks. By classifying paths based on delay relative to expected reception time, the system separates accurate LOS measurements from erroneous NLOS measurements, enabling accurate localization even in multipath environments
Solution Approach 2:
The patent introduces delay analysis of synchronization symbol blocks as an intermediary mechanism to identify LOS paths. This intermediary classification process acts as a filter between the raw received signals and the localization algorithm, ensuring that only reliable LOS path information is used for position determination
2Quantity of substance
If all received paths are used for localization, then more measurement data is available, but estimation errors increase due to NLOS path contamination
Solution Approach 1:
The patent extracts and identifies LOS paths from the mixture of LOS and NLOS paths by analyzing delay characteristics. By taking out only the LOS path components (those with delays within expected ranges) and excluding NLOS paths (those with excessive delays), the system maintains measurement data quality without contamination from erroneous NLOS measurements
3Measurement precision
If delay threshold filtering is applied to identify LOS paths, then LOS path identification accuracy improves, but path identification complexity increases
Solution Approach 1:
The patent changes the parameter used for path identification from simple signal strength to delay characteristics of synchronization symbol blocks. By measuring delay relative to expected reception time and comparing against threshold values, the system achieves accurate LOS/NLOS discrimination using a straightforward parameter-based approach rather than complex algorithms
Data Source
AI summary
An apparatus, a method and a computer program is described comprising: receiving a plurality of synchronisation symbol blocks; classifying the received synchronisation symbol blocks based on delay relative to an expected reception time; and identifying one or more candidate line of sight paths on the basis of the delay relative to the expected reception time.