Distributed ISAC Tracking Using Obstacle-Induced Signal Distortion
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Solution Overview
Problem
Current systems using ISAC signals struggle with signal distortions and attenuations caused by obstacles, leading to degraded data quality and a need for more robust and reliable track-and-trace solutions in complex environments.
Innovation Solution
A distributed ISAC system that estimates obstacle size and target position using reflected sensing signals, with local nodes transmitting reports to a central node for fusion and reporting, enabling accurate tracking and tracing through radio wave analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ISAC signals are used for distributed sensing, then sensing capability is enabled, but signal distortions and attenuations occur due to obstacles
Solution Approach 1:
The patent converts the harmful signal distortions and attenuations caused by obstacles into useful information by analyzing the distortion characteristics. The distortion of reflected sensing signals is used to estimate obstacle sizes and positions, transforming the previously detrimental effect into a beneficial measurement capability for enhanced tracking accuracy.
Solution Approach 2:
The patent introduces ground truth information from reference sensors as an intermediary to adaptively adjust equalizer parameters. This intermediary component enables the system to compensate for signal distortions and attenuations, improving signal quality while maintaining the distributed sensing capability enabled by ISAC signals.
2Measurement precision
If ground truth information is used to adapt equalizer parameters, then signal quality improves, but system complexity increases
Solution Approach 1:
The patent segments the sensing system into multiple local nodes distributed throughout the environment, each capable of independent sensing and processing. This segmentation allows each node to handle local signal quality issues independently, reducing the overall system complexity while maintaining high measurement precision through distributed ground truth reference sensors.
Solution Approach 2:
The patent employs adaptive equalization by changing the parameters of the sensing system dynamically. By adjusting equalizer parameters based on ground truth information from reference sensors, the system adapts to varying signal conditions and maintains high signal quality without requiring complex hardware modifications.
3Measurement precision
If distributed sensing with multiple local nodes is implemented, then tracking accuracy improves, but device complexity increases
Solution Approach 1:
The patent designs local nodes that serve multiple functions: they transmit sensing signals, receive reflected signals, estimate obstacle characteristics, and report to central nodes. This multi-functionality at each node reduces the need for separate dedicated components, thereby improving tracking accuracy while controlling overall system complexity.
Solution Approach 2:
The patent merges the sensing, processing, and communication functions into integrated local nodes. By combining these functions at each distributed location, the system achieves improved tracking accuracy through multiple measurement points while avoiding the complexity of separate specialized systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables cost-effective, scalable, and accurate tracking and tracing of static or movable targets by estimating obstacle sizes and positions, enhancing environmental monitoring and industrial automation with real-time monitoring capabilities.
Implementation Method 1
the performance of the sensing task includes transmitting a sensing signal... Estimating, by the at least one local node, a size of an obstacle in front of the target depending on a distortion of a reflected sensing signal of the transmitted sensing signal caused by the obstacle in front of the target
Data Source
AI summary
A method for tracking and tracing a target in an environment. The method including the following steps performed by a distributed ISAC system: receiving a request for tracking and tracing the target in the environment from a requesting entity; initiating a sensing task by at least one local node via forwarding the received request, wherein the performance of the sensing task includes transmitting a sensing signal; estimating, by the local node, a size of an obstacle in front of the target depending on a distortion of a reflected sensing signal of the transmitted sensing signal caused by the obstacle in front of the target in the environment; assessing, by the local node, a position and a size of the target based on reflections of the sensing signal and based on the distortion of the reflected signal caused by the obstacle in front of the target.