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

Zhang, Heyong; Zhao, Suoqi; Wang, Tingfeng; Guo, Jin

doi:10.1080/09500340.2013.861525

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Xu et al put forward a two-stage denoising framework involving singular-value decomposition and adaptive wavelet transform [11]. Zhang et al used signal segmentation and spectrum averaging to mitigate the impact of noise on weak echo signals, thereby improving the SNR [12]. Frelich et al suggested estimating the frequency through a coherent accumulation of signals over different periods [13].…”

Section: Introductionmentioning

confidence: 99%

Pulse Accumulation Approach Based on Signal Phase Estimation for Doppler Wind Lidar

Liang,

Yu,

Lin

et al. 2024

Sensors

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Coherent Doppler wind lidar (CDWL) uses transmitted laser pulses to measure wind velocity distribution. However, the echo signal of CDWL is easily affected by atmospheric turbulence, which can decrease the signal-to-noise ratio (SNR) of lidar. To improve the SNR, this paper proposes a pulse accumulation method based on the cross-correlation function to estimate the phase of the signal. Compared with incoherent pulse accumulation, the proposed method significantly enhances the correlation between signals from different periods to obtain high SNR gains that arise from pulse accumulation. Using simulation, the study evaluates the effectiveness of this phase estimation method and its robustness against noise in algorithms which analyze Doppler frequency shifts. Furthermore, a CDWL is developed for measuring the speed of an indoor motor turntable and the outdoor atmospheric wind field. The phase estimation method yielded SNR gains of 28.18 dB and 32.03 dB for accumulation numbers of 500 and 1500, respectively. The implementation of this method in motor turntable speed measurements demonstrated a significant reduction in speed error—averaging 9.18% lower than that of incoherent accumulation lidar systems. In experiments that measure atmospheric wind fields, the linear fit curve slope between the measured wind speed and the wind speed measured via a commercial wind-measuring lidar can be reduced from 1.146 to 1.093.

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Section: Introductionmentioning

confidence: 99%

Pulse Accumulation Approach Based on Signal Phase Estimation for Doppler Wind Lidar

Liang,

Yu,

Lin

et al. 2024

Sensors

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“…On the other hand, coherent detection can effectively suppress the influence of background light by interfering with the received signal with a local oscillator, making it one of the most sensitive optical detection techniques [ 10 , 11 ]. It is widely used in Doppler lidar, coherent laser communication and other fields [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. Pulsed coherent lidar has reduced the range ambiguity for long-distance ranges [ 22 , 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Portable Pulsed Coherent Lidar for Noncooperation Targets at the Few-Photon Level

Pang

Zhang

et al. 2021

Sensors

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The decoherence in coherent lidar becomes serious with the increase in distance. A small laser spot can suppress the decoherence of the echo light from noncooperation targets. However, it is very difficult to keep a small light spot over a long distance. In this paper, a pulsed coherent lidar with high sensitivity at the few-photon level was demonstrated. A phase plate was used to modulate the wavefront of the laser to achieve 100 m focusing which reduced the decoherence effect. Based on coherent detection and time-of-flight (TOF) measurements, long-distance laser ranging and imaging on all days was realized. A signal classification and superposition method was used to extract the echo signal submerged in noise. The system was experimentally demonstrated by ranging different noncooperation targets within 105.0 m. The measurement rate was 10 k/s, and the measurement uncertainty was 1.48 cm. In addition, laser imaging was realized at ~50.0 m. The system was simple and portable as well as eye safe, and it may offer new application possibilities in automated vehicle lidar.

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A joint algorithm based on photon heterodyne detection

Ge,

Sun,

et al. 2023

Infrared Physics & Technology

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

Cited by 5 publications

References 10 publications

Pulse Accumulation Approach Based on Signal Phase Estimation for Doppler Wind Lidar

Pulse Accumulation Approach Based on Signal Phase Estimation for Doppler Wind Lidar

Portable Pulsed Coherent Lidar for Noncooperation Targets at the Few-Photon Level

A joint algorithm based on photon heterodyne detection

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