Research on the influence of local oscillator power on signal-to-noise ratio of system under balance detection mode in 1.55um laser coherent detection system

Ce Li; Yu Han; Haixia Chen; Shengjia Zuo

doi:10.1117/12.2521614

12 March 2019 Research on the influence of local oscillator power on signal-to-noise ratio of system under balance detection mode in 1.55μm laser coherent detection system

Ce Li, Yu Han, Haixia Chen, Shengjia Zuo

Author Affiliations +

Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110231F (2019) https://doi.org/10.1117/12.2521614
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China

Abstract

In order to explore the effect of local oscillator optical power on the signal-to-noise ratio (SNR) of the system under the balanced detection method and the traditional single-channel detection mode in the laser coherent detection system. The numerical simulation analysis of the SNR of the coherent detection system is realized by using the local oscillator power.The self-built laser coherent detection platform is used to explore the influence of the local oscillator power on the system measurement range and SNR in the single-channel detection and dual-channel balance detection under the balanced detection mode. The results showed that: in coherent detection systems, balanced detection has certain advantages over single-channel detection. After calculation, in the detection range of 3km, the measured SNR in the balanced detection mode is higher than the single-channel detection SNR by 2.1.This conclusion has certain reference significance for improving the detection effect of the coherent detection system.

Citation Download Citation

Ce Li, Yu Han, Haixia Chen, and Shengjia Zuo "Research on the influence of local oscillator power on signal-to-noise ratio of system under balance detection mode in 1.55μm laser coherent detection system", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231F (12 March 2019); https://doi.org/10.1117/12.2521614

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