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Online proceedings - EDA Publishing Association

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Fig.9. Capacitive sensor output, Va as the function of the sensing distance,<br />

Δd.<br />

B. First-Order Σ-∆ Converter Simulation<br />

The overall design of the Σ-∆ ADC shown was simulated<br />

using Cadence TM Spectre. The input test analog signal is a<br />

100mV, 500 Hz sinusoid with the oversampling frequency is<br />

160 kHz. The oversampling ratio (OSR) is 160 and the<br />

output resolution is around 10 and the dynamic range is over<br />

60dB. Fig. 10 illustrates the waveforms of each stage output.<br />

C. Results Analysis<br />

Normally there are two ways to test the output of ADC: i)<br />

11-13 <br />

May 2011, Aix-en-Provence, France<br />

<br />

using an ideal DAC to convert the digital signal back to an<br />

analog signal and compare it with the original one, however<br />

this requires to design another very high resolution DAC; ii)<br />

the most popular method is using fast Fourier-transform<br />

(FFT) to analysis the output signals in frequency domain.<br />

FFT is commonly used to estimate the power spectral<br />

density (PSD) of Σ-∆ converter. Data obtained from Cadence<br />

circuit simulation is transferred to MATLAB. This is done<br />

for signal processing analysis of the final output of the signal.<br />

Fig. 11 shows the low frequency portion (0 to 10 kHz) of an<br />

FFT based PSD estimate of the output with a sinusoidal input<br />

frequency of 500Hz and f s of 160 kHz. The spectrum of Fig.<br />

11 (a) consists of one large spike representing the input<br />

signal sine wave, plus many smaller spikes distributed out of<br />

the base-band frequency along the frequency axis,<br />

representing white noise. The PSD of the output digital<br />

signal is shown in Fig. 11 (b). It demonstrates that this<br />

designed first-order sigma-delta converter really does shape<br />

quantization noise. From this figure it can be seen that the<br />

frequency of the largest spike signal is still 500Hz, which<br />

represents the input signal. The following smaller signals are<br />

the quantization errors; and their amplitudes are obviously<br />

lower than the main signal. The Σ-Δ converter performs<br />

noise-shaping and forces all the quantization errors to be<br />

outside the frequency of the base band signal.<br />

l<br />

Fig.10. Each stage output of the first-order Σ-∆ ADC.<br />

21

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