【摘要】 在清华大学微纳器件和系统实验室制备了一种高性能的巨磁电阻(GMR)自旋阀。因为该GMR磁传感器的输出呈高度非线性,不利于后端客户的应用,所以设计了一种用于线性校正用途的模糊神经网络(FNN),并以此构建了智能GMR磁传感器系统,通过Matlab仿真试验验证了该方法的有效性。最后,讨论了单芯片系统(SOC)实现该智能GMR磁传感器的可行性,为进一步的系统集成提供了理论基础。更多还原

【Abstract】 The high performance giant magnetoresistance(GMR) spin valves are fabricated in Tsinghua university micro/nano devices and systems lab.Since the response characteristics of this GMR sensor are highly nonlinear,it is not convenience for consumer application.A fuzzy neural network(FNN) based on linear calibration cell is proposed and a smart GMR sensor is constructed.The Matlab simulations show the effective results of this method.A system on chip(SOC) implementation scheme for this FNN-based smart GMR sensor is suggested,which is a theory fundamental for the system integration.更多还原