Memory Temperature Sensor Calibration Against Power Noise
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Solution Overview
Problem
Memory devices face challenges in improving temperature sensing accuracy due to code errors in digital temperature sensors, which are exacerbated by power noise during device operations.
Innovation Solution
A memory device with a digital temperature sensor that includes a calibration logic to generate a digital temperature code by calibrating a sensed temperature code based on a code ratio and offset, using a ratio of target full codes and temperature codes, and applying noise offsets specific to different operation modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital temperature sensor is used to sense temperature in memory device, then temperature sensing capability is provided, but code errors occur due to power noise during device operations
Solution Approach 1:
The patent implements a feedback mechanism where the sensed temperature code is compared against expected temperature code ranges, and calibration is performed to correct deviations caused by power noise. The calibration process uses feedback from temperature sensing results to adjust the temperature code output, thereby compensating for noise-induced errors and improving measurement precision while maintaining reliability.
Solution Approach 2:
The patent changes the parameter of temperature code calibration by introducing calibration values that adjust the raw temperature code based on observed deviations under different power noise conditions. This parameter adjustment allows the system to maintain accurate temperature sensing despite variations in power noise during different operation modes.
2Measurement precision
If calibration is performed to reduce code errors in temperature sensing, then temperature sensing accuracy is improved, but calibration time increases
Solution Approach 1:
The patent performs preliminary calibration actions by pre-determining calibration values and temperature code relationships during manufacturing or initial setup. These pre-calibrated parameters are stored and applied during operation, eliminating the need for time-consuming real-time calibration while maintaining high temperature sensing accuracy.
Solution Approach 2:
The patent applies partial calibration by focusing calibration efforts only on the most critical temperature ranges or operation modes where power noise has the greatest impact. This selective calibration approach reduces overall calibration time while still achieving sufficient accuracy for the primary operating conditions.
3Reliability
If power noise compensation is applied during temperature sensing, then code errors are reduced, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary calibration logic layer that sits between the temperature sensing circuit and the output interface. This intermediary component handles the complexity of power noise compensation by using pre-computed calibration values and simple lookup tables, rather than implementing complex real-time noise filtering algorithms, thus reducing the overall device complexity while still achieving reliable error compensation.
Data Source
AI summary
A memory device includes a memory cell array including a plurality of memory cells, and a digital temperature sensor configured to generate a digital temperature code with respect to the memory device. The digital temperature sensor is further configured to generate a sensed temperature code from a temperature of the memory device, and generate the digital temperature code by calibrating the sensed temperature code based on a code ratio and an offset, the code ratio being based on a ratio of a target full code to a difference between a first temperature code corresponding to a first temperature, a second temperature code corresponding to a second temperature, and the offset corresponding to an operation mode of the memory cell array.