22 December 2022 Compensation method for spatial phase distortion based on autocorrelation in laser heterodyne detection
Hongzhou Dong, Wuguang He, Mingwu Ao, Chunping Yang
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Abstract

The signal-to-noise ratio (SNR) of heterodyne detection is seriously reduced by the spatial phase distortion, so the compensation method of the phase distortion is of great significance for improving the performance of the heterodyne system. By replacing the single detector with an array detector in the system, the previous compensation method based on sequence shift and optimization algorithm has a certain effect. However, the method also has various shortcomings, such as long processing time, poor search stability, and possible false alarm, which severely limits its practical application. To solve the above-mentioned problems, the autocorrelation operation is used to achieve the equiphase superposition of the signals output by the elements of the array detector, thereby realizing the phase compensation. In comparison to the previous method, our method does not need an optimization algorithm, which avoids the long iterative operations and considerably improves the processing efficiency. Besides, this method avoids the false alarm caused by the optimization algorithm. The numerical calculation indicates that in case of severe phase distortion, the proposed method can increase the SNR by dozens of dB compared with the single-point detector system, thus proving the effectiveness of this method. The study results may provide a feasible and effective phase compensation method for improving and promoting the laser heterodyne detection performance.

© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
Hongzhou Dong, Wuguang He, Mingwu Ao, and Chunping Yang "Compensation method for spatial phase distortion based on autocorrelation in laser heterodyne detection," Optical Engineering 61(12), 124110 (22 December 2022). https://doi.org/10.1117/1.OE.61.12.124110
Received: 30 July 2022; Accepted: 2 December 2022; Published: 22 December 2022
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KEYWORDS
Signal to noise ratio

Distortion

Autocorrelation

Heterodyning

Signal detection

Mathematical optimization

Detector arrays

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