Implementation of Polarization Modulation Laser Ranging Method Based on Improved Moving Least Square Algorithm

Chao Gao; Weihu Zhou; Shuyuan Gao; Rongyi Ji; Yingling Pan

doi:10.3788/CJL221106

Chinese Journal of Lasers, Volume. 50, Issue 14, 1404003(2023)

Implementation of Polarization Modulation Laser Ranging Method Based on Improved Moving Least Square Algorithm

Chao Gao^1,2, Weihu Zhou^1,2、*, Shuyuan Gao³, Rongyi Ji^1,2, and Yingling Pan^1,2

¹Research and Development Center of Photoelectric Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100094, China

²University of Chinese Academy of Sciences, Beijing 100049, China

³School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, Jiangsu,China

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Figures & Tables(8)

Fig. 1. Schematic of polarization modulation laser ranging

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Fig. 2. Measured distorted waveforms

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Fig. 3. Waveforms when influence radius is 60 kHz. (a) Fitting waveform for abnormal points; (b) fitting waveform for top part

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Fig. 4. Flow chart of IMLS algorithm for realizing polarization modulation laser ranging

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Fig. 5. Device photos of polarization modulation laser ranging experiment. (a) Module of photoelectric transceiver; (b) physical picture of ranging experiment system

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Table 1. Comparative experimental data under different influence radii

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Table 1. Comparative experimental data under different influence radii

Influence radius /kHz	Distance /m	Residual error / mm	Average error /mm	Influence radius /kHz	Distance /m	Residual error / mm	Average error /mm
60	11.944595	0.862	3.068	150	11.944300	1.346	0.927
	11.939131	-4.602			11.941564	-1.390
	11.947472	3.739			11.942998	0.044
100	11.944832	2.114	1.747	200	11.943527	0.258	0.216
	11.940098	-2.620			11.942946	-0.323
	11.943224	0.506			11.943335	0.066

Table 2. Comparative experimental results under different IMLS parameters

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Table 2. Comparative experimental results under different IMLS parameters

Weight function	Shape parameter	Influence radius /kHz	Mean square deviation /mm	Weight function	Shape parameter	Influence radius /kHz	Mean square deviation /mm
Normal weighted function	σ =0.5	100	8.380	Gaussian function	β =0.5	500	0.177
	σ =0.5	300	0.280		β =1.0	100	3.844
	σ =0.5	500	0.190		β =1.0	300	0.313
	σ =1.0	300	0.249		β =1.0	500	0.178
	σ =1.0	500	0.349		β =3.0	100	200.690
	σ =3.0	300	0.246		β =3.0	500	69.684
	σ =3.0	500	0.111		β =5.0	100	206.132
Cubic spline function	—	500	0.237		β =5.0	500	0.805

Table 3. Comparison of distance calculation results of different algorithms

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Table 3. Comparison of distance calculation results of different algorithms

Algorithm

Parameter

Distance /m

Mean square

deviation /

Algorithm

Parameter

Distance /m

Mean square

deviation /

IMLS

σ=3，r=500 kHz（normal

weighted function）

11.942009

0.111

Least

square

method

Quadratic

polynomial

11.942465

0.669

β=0.5，r =500 kHz

（Gaussian function）

11.942172

0.177

Cubic

polynomial

11.941671

0.317

Swing

method

—

11.942204

0.219

Quartic

polynomial

11.941463

0.464

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Chao Gao, Weihu Zhou, Shuyuan Gao, Rongyi Ji, Yingling Pan. Implementation of Polarization Modulation Laser Ranging Method Based on Improved Moving Least Square Algorithm[J]. Chinese Journal of Lasers, 2023, 50(14): 1404003

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Paper Information

Category: Measurement and metrology

Received: Aug. 5, 2022

Accepted: Sep. 7, 2022

Published Online: Jul. 10, 2023

The Author Email: Zhou Weihu (zhouweihu@ime.ac.cn)

DOI:10.3788/CJL221106

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology