Laser & Optoelectronics Progress, Volume. 59, Issue 1, 0112003(2022)
Research of Phase-Sensitive-Detection Algorithm Based on Adaptive Filtering
Incoherent laser off-target quantity detection relies on quadrature phase demodulation, and the application of a Kalman low-pass filter can significantly improve the phase discrimination performance of digital quadrature demodulation phasemeters. This paper proposes a solution based on Sage-Husa adaptive filtering, which uses adaptive factors to adjust the state prediction covariance array to effectively reduce the model errors and improve the filtering accuracy, to address the problem that the accuracy of the Kalman low-pass filter decreases when the noise statistics information is unknown. The adaptive Kalman filtering method may substantially improve the phase identification performance of a digital phase-locked demodulator and reduce the decoding error of off-target amount under low signal-to-noise ratio, according to Matlab simulation studies.
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Ming Lei, Zhihui Feng, Yaming Nan, Tian Feng. Research of Phase-Sensitive-Detection Algorithm Based on Adaptive Filtering[J]. Laser & Optoelectronics Progress, 2022, 59(1): 0112003
Category: Instrumentation, Measurement and Metrology
Received: Jan. 21, 2021
Accepted: Apr. 28, 2021
Published Online: Dec. 23, 2021
The Author Email: Feng Zhihui (fengzh@ioe.ac.cn)