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Signal detection technology for giant magnetoresistance sensors

机译:巨型磁阻传感器的信号检测技术

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Presently, many attentions have been paid on low-noise pre-amplifier circuits and steady signal processing methods, but seldom on the combination of two technologies. In this paper, a small size low noise pre-amplifier circuit with 110 dB Common Mode Rejection Ratio (CMRR) has been developed for giant magnetoresistance sensors (GMR) and its equivalent input noise voltage density is about 3.7 nV/(Hz)~(1/2)@3.5 KHz. In addition, we proposed a new signal processing method for the sensors. In the method, we defined the quotient between the complex multiplex computation times and the output data num as a new figure of merit to evaluate that algorithm efficiency in signal detection, and name that quotient the computation times-to-output data num ratio (CTOR). Simulation results showed that the new method realized better parameters evaluation precision and higher efficiency than Modified Rife method, could be implemented easily in embedded systems.
机译:目前,在低噪声预放大器电路和稳定的信号处理方法上支付了许多关注,但很少有两种技术的组合。在本文中,已经开发了具有110dB共模抑制比(CMRR)的小尺寸低噪声预放大器电路(GMR),其等效输入噪声电压密度约为3.7nV /(Hz)〜( 1/2)@ 3.5 kHz。此外,我们提出了一种用于传感器的新信号处理方法。在该方法中,我们将复杂多路复用计算时间和输出数据数字之间的商定义为评估信号检测中的算法效率的新系数,以及商品计算次数到输出数据NUM比率的名称(CTOR )。仿真结果表明,新方法实现了更好的参数评估精度和更高的效率,而不是修改的稻瘟病,可以在嵌入式系统中轻松实现。

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