The characteristics simulation of FMCW laser backscattering signals

Liu, Bohu; Song, Chengtian; Duan, Yabo

doi:10.1007/s10043-018-0406-7

Cited by 18 publications

(7 citation statements)

References 13 publications

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“…According to the requirements, the fixed-distance accuracy of the fuze is ±30 cm, so ∆ f IFe is set to 4 KHz calculated by Equation (30). Other parameters setting is consistent with [9]. Table 2 shows theoretical frequency corresponding to 3 m, 5 m, 9 m, and 12 m calculated according to Equation (24).…”

Section: Simulationsupporting

confidence: 57%

“…In our earlier work, the aerosol extinction coefficient and scattering coefficient changed dynamically according to the different smoke density variation, aerosol particle distribution, and photon spatial positions. Based on [9], in this paper, we take account of the multiple scattering and multipath propagation of photons, and establish a multiple scattering model of the FMCW laser in the smoke environment. The scattering model and detection process are shown in Figure 2.…”

Section: Fmcw Laser Multiple Scattering Model In the Smoke Interferen...mentioning

confidence: 99%

“…Zhang et al studied the characteristics of smoke backscatter interference signals of FMCW laser fuze, and proposed a method for detecting intermediate frequency signals based on a normalized threshold [7,8]. In our earlier work, a Monte Carlo simulation model of FMCW laser transmission in a smoke interference environment was established [9]. The parameters of the aerosol scattering coefficient and extinction coefficient change randomly during the dynamic approach.…”

Section: Introductionmentioning

confidence: 99%

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FMCW Laser Fuze Multiple Scattering Model and Accurate Fixed-Distance Algorithm in a Smoke Environment

Song

Cui

Liu

2020

Sensors

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In a smoke environment, suspended particles can scatter and absorb laser photons, making target echo signals extremely weak and difficult to extract and identify, which causes obvious difficulty in fixed-distance of laser fuze. In this paper, the multiple scattering model of frequency-modulated-continuous-wave (FMCW) laser fuze in a smoke environment was established. This model simulates multi-path propagation and multiple scattering of photons. At the same time, we use the correntropy spectral density (CSD) algorithm for accurate fixed-distance of FMCW laser fuze. The absolute error of distance does not exceed 0.15 m in smoke interference environment.

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Section: Simulationsupporting

confidence: 57%

Section: Fmcw Laser Multiple Scattering Model In the Smoke Interferen...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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FMCW Laser Fuze Multiple Scattering Model and Accurate Fixed-Distance Algorithm in a Smoke Environment

Song

Cui

Liu

2020

Sensors

Self Cite

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“…The entire simulation process is shown in Figure 10 . The Monte Carlo model was adopted to simulate the echo signals of Lidar in DVE [ 27 , 28 , 29 ]. The delay time and amplitude of the received signal can be calculated by calculating the time when the photon enters the detector and the energy of all the photons received at that time.…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

Deep Learning Method on Target Echo Signal Recognition for Obscurant Penetrating Lidar Detection in Degraded Visual Environments

Liang

Huang

et al. 2020

Sensors

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With the rapid development of autonomous vehicles and mobile robotics, the desire to advance robust light detection and ranging (Lidar) detection methods for real world applications is increasing. However, this task still suffers in degraded visual environments (DVE), including smoke, dust, fog, and rain, as the aerosols lead to false alarm and dysfunction. Therefore, a novel Lidar target echo signal recognition method, based on a multi-distance measurement and deep learning algorithm is presented in this paper; neither the backscatter suppression nor the denoise functions are required. The 2-D spectrogram images are constructed by using the frequency-distance relation derived from the 1-D echo signals of the Lidar sensor individual cell in the course of approaching target. The characteristics of the target echo signal and noise in the spectrogram images are analyzed and determined; thus, the target recognition criterion is established accordingly. A customized deep learning algorithm is subsequently developed to perform the recognition. The simulation and experimental results demonstrate that the proposed method can significantly improve the Lidar detection performance in DVE.

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“…For the simulation, especially the Monte-Carlo method, it is not constrained by the situation and only needs theoretical modeling and computer simulation, which can obtain reliable experimental data [9]. Therefore, the results of Monte-Carlo simulation have a close agreement with the real situation [10][11][12] and can effectively simulate multiple scattering of laser light in aerosol conditions [13,14], which has been widely used to study the target characteristics of FMCW laser in smoke environment [15,16].…”

Section: Introductionmentioning

confidence: 99%

Virtual Simulation of the Effect of FMCW Laser Fuse Detector’s Component Performance Variability on Target Echo Characteristics under Smoke Interference

et al. 2022

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The laser transmitter and photoelectric receiver are the core modules of the detector in a laser proximity fuse, whose performance variability can affect the accuracy of target detection and identification. In particular, there is no study on the effect of detector’s component performance variability on frequency-modulated continuous-wave (FMCW) laser fuse under smoke interference. Therefore, based on the principles of particle dynamic collision, ray tracing, and laser detection, this paper builds a virtual simulation model of FMCW laser transmission with the professional particle system of Unity3D, and studies the effect of performance variability of laser fuse detector components on the target characteristics under smoke interference. Simulation results show that the difference in the performance of the fuse detector components causes the amplitude variation and peak migration of the beat signal spectrum, and the change in the visibility of the smoke can also affect the results, which indicates that the factors affecting the signal-to-noise ratio (SNR) of the echo signal are related to the smoke interference and performance variability of the detector. The proposed simulation model is supported by experimental results, which reflect the reliability of the proposed findings. Therefore, this study can be used for the optimization of the parameters in the laser fuse antismoke interference to avoid false alarms.

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The characteristics simulation of FMCW laser backscattering signals

Cited by 18 publications

References 13 publications

FMCW Laser Fuze Multiple Scattering Model and Accurate Fixed-Distance Algorithm in a Smoke Environment

FMCW Laser Fuze Multiple Scattering Model and Accurate Fixed-Distance Algorithm in a Smoke Environment

Deep Learning Method on Target Echo Signal Recognition for Obscurant Penetrating Lidar Detection in Degraded Visual Environments

Virtual Simulation of the Effect of FMCW Laser Fuse Detector’s Component Performance Variability on Target Echo Characteristics under Smoke Interference

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