Indirect Detection of Target Tracking and Strike Capability in High-Energy Laser Systems

To address the significant challenges associated with achieving precise target tracking and engagement of high-energy laser systems operating under complex atmospheric conditions, this study proposes an indirect detection strategy based on the characteristics of the laser spot. The core principle of this method involves analyzing the two-dimensional scattered-spot distribution formed after the laser beam interacts with the target surface, encompassing morphological variations and energy concentration patterns to indirectly characterize of target surface features. Furthermore, a multidimensional coupled model was developed, integrating atmospheric transmission effects, tracking-strike errors, and strike efficiency. This model is designed to systematically enhance the laser system’s tracking accuracy and strike effectiveness evaluation by incorporating the attenuation and distortion of laser propagation through atmospheric turbulence and aerosols, along with tracking and pointing error algorithms. The research quantifies the influence of atmospheric factors (such as visibility and turbulence intensity) on laser propagation and further elucidates how these parameters impact tracking and strike effectiveness, thereby offering new technical insights for target perception and performance evaluation of laser systems operating under complex environmental conditions.

Authors

Institutions

Publication Details

Journal
Photonics
Published
2025-11-22
DOI
https://doi.org/10.3390/photonics12121149
Primary Topic
Ocular and Laser Science Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Indirect Detection of Target Tracking and Strike Capability in High-Energy Laser Systems

Zhejun Feng, Meng Qin, Shufeng Zheng, Zhigang Song
Photonics
Ocular and Laser Science Research
article

Indirect Detection of Target Tracking and Strike Capability in High-Energy Laser Systems

Zhejun Feng, Meng Qin, Shufeng Zheng, Zhigang Song
article en

Abstract

To address the significant challenges associated with achieving precise target tracking and engagement of high-energy laser systems operating under complex atmospheric conditions, this study proposes an indirect detection strategy based on the characteristics of the laser spot. The core principle of this method involves analyzing the two-dimensional scattered-spot distribution formed after the laser beam interacts with the target surface, encompassing morphological variations and energy concentration patterns to indirectly characterize of target surface features. Furthermore, a multidimensional coupled model was developed, integrating atmospheric transmission effects, tracking-strike errors, and strike efficiency. This model is designed to systematically enhance the laser system’s tracking accuracy and strike effectiveness evaluation by incorporating the attenuation and distortion of laser propagation through atmospheric turbulence and aerosols, along with tracking and pointing error algorithms. The research quantifies the influence of atmospheric factors (such as visibility and turbulence intensity) on laser propagation and further elucidates how these parameters impact tracking and strike effectiveness, thereby offering new technical insights for target perception and performance evaluation of laser systems operating under complex environmental conditions.

PhotonicsVol. 12(12)
Xidian University (CN)
Natural Science Foundation of Shaanxi Province
Openalex Percentile: Top 50%
Ocular and Laser Science Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.