Laser & Optoelectronics Progress, Volume. 48, Issue 1, 10401(2011)
Processing of Noise in Infrared Sensor Made from PMN-PT
The new infrared material (1-x)Pb(Mg1/3Nb2/3)O3-xPbTiO3(PMN-PT) has more sensitivities and noises because of its perfect piezoelectric and pyroelectric performances. The characteristic noises in the new infrared sensor are analyzed. We use the algorithm of auto-correlation and wavelet transform to analyze the model of readout signal with white noise and 1/f noise at 0 dB simulated by computer. The noise of actual signal is reduced by wavelet transform through field-programmable gate array (FPGA). The result shows that the auto-correlation can only reduce white noise, and the signal-to-noise ratio (SNR) of the signal after de-noise is improved by 5.5 dB. While the wavelet transform can reduce temperature noise, white noise and 1/f noise. The SNR of the signal after de-noise is improved by 15 dB.
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Yin Xiaomin, Xu Tingting, Ding Junmin, Zhang Hua. Processing of Noise in Infrared Sensor Made from PMN-PT[J]. Laser & Optoelectronics Progress, 2011, 48(1): 10401
Category: Detectors
Received: Aug. 23, 2010
Accepted: --
Published Online: Dec. 13, 2010
The Author Email: Xiaomin Yin (xiaomin1226_2006@163.com)