Error Compensation Parameters for Sensing and Communication Accuracy
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Solution Overview
Problem
In integrated sensing and communication scenarios, measurement information of objects determined by sensing nodes in passive environments is prone to system errors due to array installation and hardware circuit impacts, leading to degraded communication performance.
Innovation Solution
A method and apparatus for calculating error compensation parameters using known status information of measurement objects to correct measurement information, improving accuracy and communication performance by compensating for system errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement information is obtained using the first measurement method, then measurement information can be determined, but system errors occur due to array installation and hardware circuit impacts, reducing measurement precision
Solution Approach 1:
The patent implements a feedback mechanism where the first node obtains feedback information (second measurement information and/or second status information) from the measurement object or other nodes, compares it with the original measurement information, and calculates error compensation parameters based on the discrepancy. This feedback loop enables continuous correction of system errors, improving both measurement precision and reliability over time.
Solution Approach 2:
The patent changes the parameters of the measurement system by calculating error compensation parameters that adjust the original measurement information. These parameter changes compensate for systematic errors introduced by array installation and hardware circuits, thereby improving measurement accuracy without requiring physical reconfiguration of the measurement system.
2Measurement precision
If error compensation parameter calculation is performed at the first node, then measurement accuracy improves, but computing resources at the first node are consumed
Solution Approach 1:
The patent segments the error compensation calculation task from the measurement execution task. The first node performs measurement and obtains feedback information, while a separate calculation process (which can be distributed to other nodes or performed asynchronously) computes the error compensation parameters. This segmentation allows measurement operations to continue while computation resources are allocated efficiently.
Solution Approach 2:
The patent introduces an intermediary mechanism where feedback information acts as a mediator between the measurement process and the error compensation calculation. Instead of directly consuming computing resources at the first node for real-time correction, the system uses the feedback information as an intermediary to enable error compensation parameter calculation that can be performed with optimized resource usage.
3Measurement precision
If error compensation is performed continuously, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies partial action by performing error compensation based on available feedback information rather than continuously recalculating all parameters. The system calculates error compensation parameters only when necessary (when feedback information is obtained), avoiding unnecessary computational overhead and system complexity while still maintaining improved measurement accuracy.
Data Source
AI summary
An error compensation parameter calculation method and an apparatus. The method includes: a first node obtains first measurement information of a first measurement object, where the first measurement information is obtained by measuring the first measurement object according to a first measurement method; the first node obtains first status information of the first measurement object; and the first node calculates an error compensation parameter based on the first measurement information and the first status information, where the error compensation parameter is used to correct measurement information that is of a measurement object and that is obtained through measurement according to the first measurement method. In this way, the first node calculates the error compensation parameter to compensate for a system error of sensing and communication, improve accuracy of the measurement information of the measurement object, and improve communication performance.