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Calibrating for Trapped Charge in Large-Scale ISFET Arrays

机译:在大型ISFET阵列中校准被捕获的电荷

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In this paper, we discuss the effect of mismatch due to trapped charge on floating-gate ISFET sensors which constitutes one of its major limitations when fabricated in unmodified CMOS. Especially evident when designing ISFET arrays, mismatch due to trapped charge is significant and random and causes pixels to operate outside their target operating region. Here, we show a gradient descent algorithm that uses a Programmable-Gate in-pixel capacitor to reduce the mismatch across pixels in an iterative and unsupervised manner. Furthermore, we show that this algorithm can be reduced to a single iteration step by estimating in advance the total step of the GD since it depends on a capacitive ratio. We show measured results of both approaches on a 64 x 200 ISFET array which uses a parasitic capacitance across two metal layers in-pixel to obtain a very small PG capacitor. Both approaches are demonstrated across 4 chips and significantly reduce the mismatch spread with comparable performance.
机译:在本文中,我们讨论了由于在未经修改的CMOS中制造的浮栅ISFET传感器上的悬浮栅ISFET传感器中的捕获电荷而讨论了不匹配的效果。特别是在设计ISFET阵列时显而易见,由于被困电荷而导致的不匹配是显着的并且随机的,并且导致像素在其目标操作区域之外运行。这里,我们示出了一种梯度下降算法,其使用可编程门中的像素电容器来减少迭代和无监督的方式跨越像素的不匹配。此外,我们表明,通过预先估计Gd的总步骤,可以将该算法减少到单一迭代步骤,因为它取决于电容比。我们在64×200的ISFET阵列上显示了两种方法的测量结果,该阵列在像素中的两个金属层上使用寄生电容以获得非常小的PG电容器。两种方法都在4个芯片上证明,并显着减少了具有可比性的不匹配差异。

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