Optimization of under-sampling phase detection accuracy in phase laser ranging

Yingling Pan; Yingling Pan; Rongyi Ji; Rongyi Ji; Ziqi Xie; Ziqi Xie; Meng Gao; Meng Gao; Dengfeng Dong; Dengfeng Dong; Weihu Zhou; Weihu Zhou; Guicun Li

doi:10.1364/AO.510986

Applied Optics
Vol. 63,
Issue 4,
pp. 1022-1031
(2024)
•https://doi.org/10.1364/AO.510986

Optimization of under-sampling phase detection accuracy in phase laser ranging

Yingling Pan, Rongyi Ji, Ziqi Xie, Meng Gao, Dengfeng Dong, Weihu Zhou, and Guicun Li

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
Yingling Pan, Rongyi Ji, Ziqi Xie, Meng Gao, Dengfeng Dong, Weihu Zhou, and Guicun Li, "Optimization of under-sampling phase detection accuracy in phase laser ranging," Appl. Opt. 63, 1022-1031 (2024)

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Check for updates

Abstract

Under-sampling is an advantageous way for lowering sampling circuit complexity in phase laser ranging while maintaining high modulated frequency operation. Improving the accuracy of the ranging system is the aim of the proposed selection criteria with involved under-sampling parameters. These parameters include signal frequency, sampling frequency, and calculation points. Setting the number of one periodic sampling points to be an integer power of 2 (${\rm power} = {2 - 6}$) optimizes the accuracy in integral periodic sampling. Levering up calculated periods with limited calculated points and averaging the calculated phase by employing the corresponding average parameter can both enhance accuracy in non-integral periodic sampling. These criteria are verified through derivation and simulation and are applied to the ranging system. The experimental results demonstrate that, by applying these selection criteria, the phase detection accuracy in the under-sampling ranging system can be potently improved without any pre-processing or algorithmic refinement.

Full Article | PDF Article

More Like This

Impact of laser phase noise on the ranging accuracy of a cooperative MIMO FMCW photonic radar system

Annapurna Kumari and Amitesh Kumar
Appl. Opt. 62(36) 9523-9535 (2023)

Phase retrieval algorithm applied to high-energy ultrafast lasers

Jikai Wang, Abdolnaser Ghazagh, Sonam Smitha Ravi, Stefan Baumbach, Benjamin Dannecker, Michael Scharun, Dominik Bauer, Stefan Nolte, and Daniel Flamm
Appl. Opt. 63(10) 2518-2527 (2024)

Quantum random number generation based on phase reconstruction

Jialiang Li, Zitao Huang, Chunlin Yu, Jiajie Wu, Tongge Zhao, Xiangwei Zhu, and Shihai Sun
Opt. Express 32(4) 5056-5071 (2024)

Previous Article Next Article

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (19)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (17)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Calculated Points $n = 8192$ Sampling Frequency $f_{s} = 40 M H z$
$f$ (MHz)	$f_{n}$ (MHz)	$M$	Stability (°)	Deviation (°)
200.055	0.055	11.264	0.476	$\pm 0.7$
200.55	0.55	112.64	0.065	$\pm 0.1$
205.5	5.5	1126.4	0.0082	$\pm 0.012$

Calculated Points $n = 8192$ , $N \geq 1$ Sampling Frequency $f s = 40 M H z$
$f$ (MHz)	$f_{n}$ (MHz)	$n_{0}$	$N$	$\| ⟨ \frac{n}{n_{0}} ⟩ \cdot n_{0} - n \|$	$n_{a v e r a g e}$
$40 N + 0.2$	0.2	200	1	8	25
$40 N + 1$	1	40	1	8	5
$40 N + 2$	2	20	2	8	5

Calculated Points $n = 8192$ Sampling Frequency $f_{s} = 40 M H z$
$f$ (MHz)	$f_{n}$ (MHz)	$M$	Stability (°)	Deviation (°)
200.055	0.055	11.264	0.476	$\pm 0.7$
200.55	0.55	112.64	0.065	$\pm 0.1$
205.5	5.5	1126.4	0.0082	$\pm 0.012$

Calculated Points $n = 8192$ , $N \geq 1$ Sampling Frequency $f s = 40 M H z$
$f$ (MHz)	$f_{n}$ (MHz)	$n_{0}$	$N$	$\| ⟨ \frac{n}{n_{0}} ⟩ \cdot n_{0} - n \|$	$n_{a v e r a g e}$
$40 N + 0.2$	0.2	200	1	8	25
$40 N + 1$	1	40	1	8	5
$40 N + 2$	2	20	2	8	5

Abstract

Data availability

Cited By

Figures (19)

Tables (2)

Equations (17)

Applied Optics