Passive Sensing Reference Signal Design for Wireless Object Detection
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Solution Overview
Problem
Existing wireless communication systems face challenges in performing accurate passive sensing measurements due to factors like unreliable data channels, natural signal fluctuations, and imperfect correlation properties, which affect the detection and identification of objects in the environment.
Innovation Solution
The implementation of a method that configures passive sensing measurements by indicating reference and sensing beams, along with a function to be computed from the signals received via these beams. This method includes the use of artificial intelligence machine learning models for processing sensing signals and the integration of RAT-independent sensors for obtaining state information about objects and paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If passive sensing measurements are performed using existing wireless communication systems, then object detection and identification can be achieved, but measurement accuracy is degraded due to unreliable data channels, natural signal fluctuations, and imperfect correlation properties
Solution Approach 1:
The patent introduces a dedicated sensing reference signal as an intermediary element to enable accurate passive sensing measurements. This reference signal serves as a mediator between the transmitted signal and the sensing measurement process, providing a reliable basis for correlation operations and object detection despite the unreliability of data channels
Solution Approach 2:
The patent extracts the sensing measurement function from the data channel and implements it through a separate reference signal mechanism. By taking out the sensing functionality from the unreliable data channel, the system can perform accurate passive sensing measurements using the dedicated reference signal without being affected by data channel imperfections
2Measurement precision
If passive sensing measurements are performed using existing wireless communication systems, then object detection can be achieved, but measurement accuracy is affected by natural signal fluctuations
Solution Approach 1:
The patent applies preliminary action by pre-configuring the reference signal with known properties and structure before the sensing measurement process. This preliminary setup of the reference signal provides a stable baseline that compensates for natural signal fluctuations during the actual sensing operation, enabling more accurate object detection
Solution Approach 2:
The patent utilizes parameter changes in the reference signal design, specifically adjusting the correlation properties and temporal characteristics of the reference signal to optimize sensing performance. By carefully controlling these parameters, the system can maintain measurement accuracy despite natural signal fluctuations in the wireless environment
3Measurement precision
If passive sensing measurements are performed using existing wireless communication systems, then sensing can be performed, but measurement accuracy is degraded due to imperfect correlation properties
Solution Approach 1:
The patent segments the sensing measurement process into distinct stages: reference signal transmission, signal reception, correlation operation, and object detection. This segmentation allows each stage to be optimized independently, with the correlation operation specifically designed to improve measurement accuracy without requiring excessive computational complexity
Data Source
AI summary
Various aspects of the present disclosure relate to passive sensing in wireless communications. An apparatus (e.g., a user equipment (UE), a network entity (NE)) receives measurement configuration for performing a passive sensing measurement, performs a passive sensing measurement based at least in part on the received measurement configuration, and transmits information pertaining to the passive sensing measurement.