Journal of Sensors / 2018 / Article / Tab 3 / Research Article
Improving Accuracy in the Readout of Resistive Sensor Arrays Table 3 Results obtained for methods based on the VFM in an 8 × 8 array with different values of
if
Ω and the rest of the resistors in the array, Rns, take different values. (a) Classical approach. (b) VFM circuit proposed by Wu et al. (c) Results for the proposed method in the first step. (d) Results for the proposed method in the second step.
(a) VFM classical approach
Rs = 1 Ω Rns (Ω) Error (%), (Ω) 100 500 2000 5000 7500 10000 100 13.85 80.64 95.03 98.00 98.67 99.00 200 9.17 54.87 88.01 95.14 96.75 97.56 300 6.79 14.46 76.08 90.19 93.42 95.05 400 5.60 3.92 51.04 79.41 86.12 89.53 600 4.40 2.76 2.43 2.30 2.24 2.18 800 3.81 2.18 1.86 1.78 1.75 1.72 1200 3.21 1.59 1.28 1.22 1.21 1.20 1800 2.81 1.19 0.89 0.84 0.83 0.82 3000 2.50 0.88 0.58 0.52 0.52 0.51 6000 2.26 0.64 0.34 0.29 0.28 0.28 10000 2.16 0.55 0.25 0.19 0.18 0.18
(b) VFM-Wu
Rs = 1 Ω Rns (Ω) Error (%), (Ω) 100 500 2000 5000 7500 10000 100 0.19 73.03 93.09 97.22 98.14 98.61 200 0.54 37.21 83.35 93.25 95.49 96.61 300 0.66 0.19 66.77 86.38 90.87 93.13 400 0.69 0.12 31.97 71.40 80.71 85.45 600 0.72 0.09 0.27 0.36 0.41 0.47 800 0.72 0.08 0.24 0.29 0.31 0.33 1200 0.73 0.07 0.22 0.26 0.26 0.27 1800 0.73 0.07 0.22 0.25 0.25 0.25 3000 0.74 0.07 0.22 0.25 0.25 0.25 6000 0.74 0.07 0.22 0.25 0.25 0.25 10000 0.74 0.07 0.22 0.25 0.25 0.25
(c) VFM proposed method, 1st step
Rs = 1 Ω Rns (Ω) Error (%), (Ω ) 100 500 2000 5000 7500 10000 100 27.48 83.53 95.76 98.30 98.86 99.15 200 0.31 58.05 88.85 95.48 96.98 97.73 300 0.04 18.45 77.19 90.64 93.72 95.28 400 0.03 0.17 52.71 80.11 86.59 89.88 600 0.12 0.09 0.05 0.02 0.07 0.08 800 0.12 0.06 0.05 0.06 0.08 0.02 1200 0.08 0.04 0.04 0.04 0.05 0.05 1800 0.07 0.02 0.03 0.03 0.03 0.04 3000 0.05 0.02 0.02 0.02 0.03 0.03 6000 0.05 0.01 0.01 0.02 0.02 0.02 10000 0.04 0.01 0.01 0.01 0.02 0.02
(d) VFM proposed method, 2nd step
Rs = 1 Ω Rns (Ω) Error (%), (Ω) 100 500 2000 5000 7500 10000 100 29.45 83.93 95.87 98.34 98.89 99.17 200 1.00 58.27 88.91 95.50 96.99 97.74 300 0.38 18.63 77.24 90.66 93.74 95.29 400 0.19 0.04 52.77 80.14 86.60 89.89 600 0.00 0.03 0.03 0.03 0.04 0.04 800 0.04 0.02 0.01 0.03 0.04 0.04 1200 0.03 0.02 0.02 0.02 0.03 0.04 1800 0.03 0.01 0.02 0.01 0.03 0.03 3000 0.02 0.01 0.01 0.01 0.02 0.03 6000 0.02 0.01 0.01 0.01 0.02 0.02 10000 0.02 0.01 0.01 0.01 0.02 0.02