Latency Compensation via Regression Rule Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods face challenges in handling dynamic latencies and require close coupling between sensor drivers and user software components, making it difficult to accurately compensate for latency in the transfer of measured values, especially when dealing with multiple user software components and varying latency times.
Innovation Solution
A method where multiple values of a variable quantity are received by a first processing unit, which determines calculation information characterizing a regression rule, and this information is transferred to a second processing unit to calculate the value at a desired time, allowing for time-compensated signal value calculation without pre-calculating latency compensation, using regression methods and shared time bases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If extrapolation is used to compensate for latency, then the measured value is provided at an earlier point in time, but the handling of dynamic latencies becomes difficult and requires close coupling between driver and user software
Solution Approach 1:
The patent extracts the latency compensation calculation from the sensor driver and relocates it to the application software. Instead of the driver pre-calculating compensated values based on known latencies, the raw measured values and their timestamps are transferred to the application, which then performs the compensation calculation. This decoupling eliminates the need for the driver to know application-specific latency requirements while still achieving time compensation.
Solution Approach 2:
The patent applies preliminary action by having the sensor driver transfer the measured values and timestamps to the application software in advance, before the actual compensation calculation is performed. The data is prepared and made available early, allowing the application to perform compensation at the optimal moment without requiring complex pre-coordination with the driver.
2Adaptability or versatility
If multiple user software components have different latencies, then each component requires its own extrapolated values, but this increases the complexity and calculation burden on the driver
Solution Approach 1:
The patent extracts the compensation calculation responsibility from the sensor driver and assigns it to individual application software components. Each application receives the raw measured values and timestamps and performs its own compensation calculations based on its specific latency requirements. This allows multiple applications with different latency needs to be supported without increasing driver complexity.
Solution Approach 2:
The patent segments the latency compensation function so that instead of one centralized compensation mechanism in the driver, each application software component independently performs its own compensation. This segmentation allows each component to be optimized for its specific requirements while the driver remains simple and generic.
3Ease of operation
If conventional transfer methods are used, then the measured value is transferred as is, but the value becomes outdated due to time delay in transfer and processing
Solution Approach 1:
The patent applies preliminary action by having the sensor driver transfer the measured values and their associated timestamps to the application software before the actual processing occurs. This early transfer allows the application to calculate the compensation based on the known latency between transfer and processing, effectively counteracting the time delay.
Solution Approach 2:
The patent introduces timestamps as an intermediary element that mediates between the raw measured value and the compensation calculation. The timestamp serves as a reference point that allows the application to calculate how much compensation is needed based on the time elapsed between measurement and processing, without requiring complex real-time synchronization.
Data Source
AI summary
A method for determining a value of a variable quantity. A processing unit temporally consecutively receives multiple values of the variable quantity including respective associated detection points in time. Based on at least one of the multiple values and the respective associated detection points in time, the processing unit determines pieces of calculation information, which characterize a calculation rule used for determining a value of the variable quantity at a desired point in time. The pieces of calculation information are transferred from the processing unit together with at least one of the detection points in time to another processing unit, so that the calculation rule is determined there based on the received pieces of calculation information and the received detection points in time, and thus a value of the variable quantity may be determined at a desired point in time.