When using Gm-APD Lidar for depth imaging through realistic fog, the echo signal of the target is submerged in the background noise due to the strong absorption and scattering characteristics of the fog particles, resulting in serious defect of the recovered depth image of the target. To solve this problem, this paper proposes a dual-parameter estimation algorithm based on continuous wavelet transform (CWT) and maximum likelihood estimation (MLE) to improve the accuracy of fog signal estimation. Then the target and the fog signal are separated by estimating the fog signal of each pixel. Finally, the depth image of the separated target is processed by cross pixel complement and median filtering algorithms to improve the integrity of the target image. The experimental results show that, compared with the traditional algorithm, the target recovery of the reconstructed image is improved by 0.337, and the relative average ranging error is reduced by 0.3897. This research improves the weather adaptability of Gm-APD Lidar.
One of the most significant limitations of FBG sensors is their dual sensitivity to temperature and strain. Many
methods have reported to avoid this problem by using a tapered fiber grating for the strain measurement free from
temperature influence. But all of them are based on the measurement of the reflected power from the tapered fiber
grating (TFG). In fact, they have abandoned the major advantage that the measured information is encoded in light
wavelength instead of light intensity of FBG sensors, and the revolution of these sensors is begin to depend on the light
power fluctuation, connection loss and many other elements. All of these would enlarge the cost of the sensing system.
On the basis of the theory calculation and experiment, we demonstrate the feasibility to make a temperature-independent
strain sensor by measuring the bandwidth of the reflected light from the tapered fiber grating. In this paper, we also
present a novel demodulating method based on a scanning FBG. In the experiment, a PZT is used to make the reflected
wavelength of FBG scanned from short wavelength to long wavelength to measure the bandwidth of the reflected light
from TFG. From the experimental results, it could be seen that the influences of the light power fluctuation and
connection loss are eliminated thoroughly. This simple and low-cost sensor approach has a considerable potential,
particularly application for strain sensing in the smart structures.
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