Research on Passive Localization and Trajectory Generation Technology for Far-Sea Air Targets Based on Multi-Source System

The technology for locating and tracking aerial targets of distant sea is a key technology in the field of modern military. It is of vital importance to the protection of national security and the enhancement of military operational effectiveness. Aiming at the challenge of passive positioning of far-sea air targets, this paper proposes a multi-source fusion target positioning and trajectory generation enhancement method. Firstly the method integrates the observation data from remote islands and space-based passive positioning systems to achieve accurate positioning of airborne targets under ideal conditions. In the face of data errors, the method further optimises the positioning accuracy using multi-source system data fusion techniques. Subsequently, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to generate the trajectory and enhance the trajectory. Simulation experiments verify that the method not only significantly improves the accuracy of multi-source fusion positioning, but also the trajectory enhancement effect is remarkable. This study provides strong support for the realisation of full-time, full-area, high-quality tracking and surveillance of far-sea air targets.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icaica63239.2024.10823069
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Passive Localization and Trajectory Generation Technology for Far-Sea Air Targets Based on Multi-Source System

Qiang Qu, Yu-Qing Kang, Congcong Zhang, Yang Yu
Radar Systems and Signal Processing
article

Research on Passive Localization and Trajectory Generation Technology for Far-Sea Air Targets Based on Multi-Source System

Qiang Qu, Yu-Qing Kang, Congcong Zhang, Yang Yu
article en

Abstract

The technology for locating and tracking aerial targets of distant sea is a key technology in the field of modern military. It is of vital importance to the protection of national security and the enhancement of military operational effectiveness. Aiming at the challenge of passive positioning of far-sea air targets, this paper proposes a multi-source fusion target positioning and trajectory generation enhancement method. Firstly the method integrates the observation data from remote islands and space-based passive positioning systems to achieve accurate positioning of airborne targets under ideal conditions. In the face of data errors, the method further optimises the positioning accuracy using multi-source system data fusion techniques. Subsequently, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to generate the trajectory and enhance the trajectory. Simulation experiments verify that the method not only significantly improves the accuracy of multi-source fusion positioning, but also the trajectory enhancement effect is remarkable. This study provides strong support for the realisation of full-time, full-area, high-quality tracking and surveillance of far-sea air targets.

PLA Academy of Military Science (CN)
Life below water
Openalex Percentile: Top 58%
Radar Systems and Signal Processing
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.