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Analysis of SNR for laser heterodyne detection with a weak local oscillator based on a MPPC

机译:基于MPPC的弱本振激光外差检测的SNR分析

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In order to avoid the influence of shot noise due to the powerful local oscillator (LO) in traditional heterodyne detection, the signal-to-noise ratio (SNR) was analyzed for laser heterodyne detection with a weak LO at the photon level. First, the expression for the SNR with a pulsed laser was applied to the condition of partial CW and weak LO laser heterodyne detection, the spectrum of the heterodyne signal with the center frequency 212 kHz was obtained, and the theoretical value of the SNR found to be in agreement with experiment. Second, the techniques of data segment fractionizing and power spectral sensity (PSD) averaging were used to investigate the SNR. The results show that the volume of the data required can be decreased by a factor of 10 compared with the traditional PSD averaging, the data resource is fully used while signal processing, and the signal-to-noise improved ratio (SNIR) nearly obeys the m~1/2 rule (m is the averaging time) under a small quantity of data segments. Finally, the limiting factors about the SNIR during the PSD averaging have been determined so that good use can be made of the data.
机译:为了避免在传统外差检测中由于强大的本地振荡器(LO)而导致散粒噪声的影响,分析了在光子级具有弱LO的激光外差检测的信噪比(SNR)。首先,将脉冲激光的SNR表达式应用于部分连续波和弱LO激光外差检测的条件下,获得中心频率为212 kHz的外差信号的频谱,并得出SNR的理论值:与实验相符。其次,使用数据段分割和功率谱敏感度(PSD)平均技术研究SNR。结果表明,与传统的PSD平均相比,所需数据量可以减少10倍,在信号处理过程中可以充分利用数据资源,信噪比(SNIR)几乎可以满足要求。少量数据段下的m〜1/2规则(m为平均时间)。最终,确定了PSD平均过程中有关SNIR的限制因素,以便可以充分利用数据。

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