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Comprehensive noise characterisation of magnetic tunnel junction sensors for optimising sensor performance and temperature detection

机译：磁性隧道结传感器的综合噪声特性，可优化传感器性能和温度检测

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摘要

Noise performance of magnetic tunnel junction (MTJ) sensors is impacted by various factors including junction structure, post-deposition treatment, and operating parameters. The optimisation of these factors can lead to a better MTJ sensor design with minimised noise level and enhanced detectivity for functioning as a magnetometer. In this paper, the authors studied the influence of several parameters (bias voltage, temperature, magnetic field, and junction area) on the noise performance of MTJ sensors. Relatively high bias voltage and low ambient temperature were suggested to be helpful in reducing the electronic 1/f noise. A mechanism of utilising MTJ as a temperature sensor by making use of the mid-frequency noise (from 10.0 kHz to 22.8 kHz) was proposed. The relation between temperature and noise power was obtained by numerically fitting the measured noise power with an equation composing of three components representing background noise, intertwined thermal and shot noise, and non-linear noise source, respectively. Temperature of the junction could be determined by measuring the mid-frequency noise power at certain bias voltage and substituting it into the equation. This provides a possible route of using a MTJ as a multifunctional sensor for sensing both magnetic field and temperature.
机译：磁隧道结（MTJ）传感器的噪声性能受各种因素影响，包括结结构，沉积后处理和工作参数。这些因素的优化可以导致更好的MTJ传感器设计，同时将噪声水平降至最低，并增强检测功能，以用作磁力计。在本文中，作者研究了多个参数（偏置电压，温度，磁场和结区）对MTJ传感器的噪声性能的影响。建议相对较高的偏置电压和较低的环境温度有助于降低电子1 / f噪声。提出了一种利用中频噪声（10.0 kHz至22.8 kHz）将MTJ用作温度传感器的机制。温度和噪声功率之间的关系是通过将测得的噪声功率用方程式数值拟合得到的，该方程式由三个成分组成，分别代表背景噪声，交织的热噪声和散粒噪声以及非线性噪声源。结的温度可以通过在一定的偏置电压下测量中频噪声功率并将其代入公式来确定。这提供了将MTJ用作感应磁场和温度的多功能传感器的可能途径。

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