Resonance fluorescence scattering laser radar laser emission power optimization control device and control method

Abstract

The invention discloses a resonance fluorescence scattering laser radar laser emission power optimization control device and control method. The method comprises the following steps: acquiring a resonance fluorescence excitation saturation laser power threshold P0 of a detected metal layer, acquiring an echo signal corresponding to a clear sky time laser radar when the output power is P0, and acquiring a monopulse photon counting signal critical value PC0 at a low-altitude reference height Z0; comparing the monopulse photon counting signal PC1 on the reference height Z0 acquired in real time with a critical value PC0, and judging whether the current laser emission power can cause a metal layer fluorescence excitation saturation effect or low-efficiency excitation or not; and outputting a laser emission power control signal according to a judgment result of whether the laser emission power causes a metal layer fluorescence excitation saturation effect or low-efficiency excitation. According to the invention, the laser emission power can be optimized according to different attenuation degrees of the low-altitude atmosphere to the emitted laser under the real-time weather condition, and efficient and accurate metal layer detection can be realized.

Description

technical field [0001] The invention relates to laser radar atmospheric detection technology, in particular to a resonant fluorescence scattering laser radar laser emission power optimization control device and control method. Background technique [0002] Resonant fluorescence scattering lidar is an important means to carry out high temporal and spatial resolution detection of upper atmospheric metal layer. With the advancement of laser technology, it is becoming more and more convenient to obtain high-power and high-performance fluorescent laser radar emitting laser sources. Using a larger laser emission power for detection can obtain a higher signal-to-noise ratio of the echo signal, which is helpful for the study of the rapid change process of the atmospheric metal layer with high temporal and spatial resolution. However, the atmospheric transmittance is the most important uncertain factor affecting the lidar echo signal, and the clouds and aerosols existing in the low ...

AI Technical Summary

Problems solved by technology

When the low-altitude atmospheric conditions change, the degree of attenuation of the laser emission power is different, and the laser power to excite the high-altitude metal layer will also change. For example, when the low-altitude clouds and aerosols are less, the atmospheric transmittance is high at this time, and the excessively high laser emission The power will easily lead to the saturation effect of fluorescence excitation on the metal layer, which will bring large errors to the detection results and even distort the results; when there are many low-altitude clouds and aerosols, the atmospheric transmittance is low at this time, so that the light that penetrates the lower atmosphere to reach the high-altitude metal layer The laser power is greatly attenuated, and the detection signal-to-noise ratio is reduced, resulting in an increase in the random error of the detection results, and even makes the data unusable, reducing the continuity of the detection results

[0003] At present, metal layer fluorescent laser radars all use constant laser power to emit. When there are indirect clouds at low altitudes, the laser power to excite the metal layer is reduced, and the signal-to-noise ratio of the echo signal is greatly reduced. Instead, a stronger single-pulse laser is used. When transmitting energy, it is necessary to use a larger laser divergence angle to avoid the saturation effect, but using a large laser divergence angle without changing the receiving field of view will easily cause the transmitting and receiving fields of view to not completely match, resulting in high-altitude or low-altitude signals. Partial loss, resulting in a large error in the detection results

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