UE LOS/NLOS Path Identification for Multipath Positioning
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Solution Overview
Problem
Positioning accuracy in mobile communications networks is significantly degraded due to multipath effects caused by non-line-of-sight signals, particularly in indoor internet of things (IIoT) scenarios.
Innovation Solution
User Equipment (UE) is equipped with the capability to identify and report Line-of-Sight (LOS) or Non-Line-of-Sight (NLOS) conditions by generating indicators or measurements based on Positioning Reference Signals (PRS), allowing the network to adapt positioning methods accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods are used in mobile communications networks, then the positioning can be performed in general environments, but the positioning accuracy is significantly degraded due to multipath effects caused by non-line-of-sight signals
Solution Approach 1:
The patent segments the positioning measurement process by separating LOS and NLOS path identification. The UE identifies the first detected path as potentially LOS and other paths as NLOS, then performs separate measurements for each path type. This segmentation allows the system to selectively use high-accuracy LOS measurements while accounting for or excluding NLOS measurements, thereby resolving the technical contradiction between general environment positioning capability and positioning accuracy degradation from NLOS signals.
2Measurement precision
If the UE reports multiple path measurements including arrival time differences, then the positioning accuracy can be improved by providing more measurement data, but the complexity of the positioning system increases
Solution Approach 1:
The patent applies preliminary action by having the UE pre-identify and classify paths (first detected path vs. other paths) before performing detailed measurements. The UE prepares path identification results and organizes measurement data in advance, then reports structured information including arrival time differences for multiple paths. This preliminary classification simplifies the overall system complexity by organizing data systematically, while still providing the multiple path measurements needed for improved positioning accuracy.
Data Source
AI summary
A system and method for positioning for line-of-sight and non-line-of sight environments. In some embodiments, the method includes: receiving, by a User Equipment (UE), from a first Transmission and Reception Point (TRP) of a network, a Positioning Reference Signal (PRS); and sending, by the UE, a response to the network. The sending may include sending an indicator, the indicator indicating whether the UE has performed a measurement based on the Positioning Reference Signal, received via a line-of-sight path; or the sending may include identifying a first detected path and sending a plurality of measurements to the network, the plurality of measurements including, for each of a first plurality of paths, the arrival time difference relative to the arrival time of the first detected path, the first plurality of paths not including the first detected path, and the first plurality of paths including two paths.