A frequency-modulated-continuous-wave laser detection system based on the four-quadrant photodetector

Liu, Bohu; Song, Chengtian; Li, Yinlin; Duan, Yabo

doi:10.1007/s00340-018-7043-5

Cited by 3 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be noticed that, in a smokeless environment, the frequency of target echo signal linearly increases over target distance. Therefore, the relationship between the target distance and the frequency of the target echo signal in smokeless condition can be described as:

where

is a constant determined by the frequency of beat signal, the period and frequency offset of the FM signal [ 23 , 24 , 25 ]. However, in the harsh visibility conditions shown in Figure 3 , the noise leads to multiple peaks with the rise of smoke concentration.…”

Section: The Obscurant Penetrating Lidar Detection Methodsmentioning

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

where

Section: The Obscurant Penetrating Lidar Detection Methodsmentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…The laser target designator on the airplane or ground emits a beam of 1064nm laser to the target. The seeker on the laser guided bomb receives the echo laser signal and controls the bomb to hit the target with guidance law and control law [6,7]. The core components of the laser seeker are four-quadrant photodetector and signal processor.…”

Section: The Semi-active Laser Seekermentioning

confidence: 99%

Design of the Automatic Gain Control Device in the Laser Seeker

Liu¹,

Huang²,

Mi³

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The change of the laser echo energy received by the laser seeker during detection is too large, it is easy to saturate the input voltage of the signal processing circuit, which resulted the laser guided bombs lost the target. In this paper, an automatic gain control device for the laser seeker based on FPGA control is designed. This device is suitable for low-cost laser guided bomb because of simpleness and applicability.

show abstract

“…The parameters of the aerosol scattering coefficient and extinction coefficient change randomly during the dynamic approach. In addition, some traditional denoising methods, including empirical mode decomposition (EMD) direct wavelet thresholding, EMD interval thresholding, correlation-based EMD partial reconstruction, discrete Fourier transform (DFT), and wavelet transformation, are investigated to provide a comparison with the cross-power-spectral-density (CPSD) algorithm [10]. Both the simulation and experiment results showed that the CPSD algorithm has better performance than other algorithms for the anti-interference of FMCW laser detection.…”

Section: Introductionmentioning

confidence: 99%

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

Song

Cui

Liu

2020

Sensors

Self Cite

View full text Add to dashboard Cite

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.

show abstract

A frequency-modulated-continuous-wave laser detection system based on the four-quadrant photodetector

Cited by 3 publications

References 25 publications

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

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

Design of the Automatic Gain Control Device in the Laser Seeker

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

Contact Info

Product

Resources

About