Kinematic State Estimation Filtering Non-LOS Measurements

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Solution Overview

Problem

Existing wireless communication systems face challenges in accurately estimating the kinematic state of user equipment (UE) due to non-line-of-sight (LOS) and shadowed measurements, which can lead to errors and symmetric tracks below ground level.

Innovation Solution

A method for kinematic state estimation of UE connected to a wireless communication network, which involves obtaining measurement information, determining its consistency with a measurement prediction, and updating the estimation accordingly. This method discards inconsistent measurements and uses a 3-mode drone movement model with interacting-multiple-model filtering to improve accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If measurements are obtained from all available sources in the wireless communication system, then the quantity of measurement data increases, but the measurement precision deteriorates due to inclusion of non-LOS and shadowed measurements

Engineering Contradiction:

Improvequantity of measurement dataVSAvoidmeasurement precision

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent changes the parameter of measurement quality by introducing a consistency check mechanism that evaluates each measurement against prediction based on current kinematic state estimation. Measurements are classified as consistent or inconsistent based on this evaluation, and only consistent measurements are used for updating the state estimation, thereby filtering out low-quality non-LOS and shadowed measurements while retaining sufficient data quantity

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system performs self-validation by using its own kinematic state estimation to generate predictions that are then used to evaluate the quality of incoming measurements. This self-service mechanism allows the system to automatically identify and discard inconsistent measurements without external intervention, resolving the contradiction between data quantity and precision

Inventive Principle:

Principle #25Self-service

2Productivity

If all kinematic measurements are used for state estimation, then the productivity of tracking increases, but the reliability deteriorates due to errors from non-LOS propagation

Engineering Contradiction:

Improvetracking speedVSAvoidreliability of kinematic state estimation

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent applies preliminary action by performing consistency evaluation of measurements before they are used for state estimation updates. The system predicts expected measurements based on current kinematic state, evaluates incoming measurements against these predictions, and pre-filters inconsistent measurements before they can corrupt the estimation, thus maintaining both tracking speed and reliability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by using the kinematic state estimation to generate predictions that feed into the measurement evaluation process. This closed-loop feedback mechanism continuously refines the filtering criterion based on the current state, allowing rapid tracking while maintaining high reliability through adaptive rejection of inconsistent measurements

Inventive Principle:

Principle #23Feedback

3Ease of operation

If measurements from distributed antennas at same height are used, then the ease of operation is improved, but the manufacturing precision of position estimation deteriorates due to symmetric tracks below ground level

Engineering Contradiction:

Improveease of using distributed antennasVSAvoidposition estimation accuracy

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The patent converts the harmful symmetric ambiguity (which could lead to underground position estimates) into a beneficial filtering opportunity. By using the consistency check against prediction based on kinematic state, the system identifies and discards measurements that would lead to physically impossible underground positions, while retaining the operational simplicity of using distributed antennas at the same height

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Data Source

PatentUS12216224B2Method and apparatus for kinematic state estimation of a user equipment

Publication Date: 2025.02.04 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

AI summary

A method for kinematic state estimation of a UE connected to a wireless communication network. The method comprises obtaining (S10) of measurement information related to a kinematic measurement concerning the UE. The kinematic measurement is achieved at a measuring time. The kinematic measurement belongs to a set of kinematic measurements. It is further determined (S20) whether the measurement information is consistent with a measurement prediction for the UE valid for the measuring time based on a kinematic state estimation of the UE. The kinematic state estimation is created using kinematic measurements of the set of kinematic measurements. If the measurement information is determined not to be consistent, the measurement information is discarded (S30). If the measurement information is determined to be consistent, the kinematic state estimation of the UE is updated (S31) with the measurement information.