Simultaneous Localization for Multi-GNSS Interference Source Based on a Single LEO Satellite

A multi-GNSS interference source localization method is proposed in this letter. A single low-earth orbit satellite is used to monitor the Doppler of multiple GNSS interference sources and solve the positions. The localization problem is modeled as an optimization problem with a 0-1 integer programming form. Due to the solution space of the optimization problem being of an exponential magnitude, the optimization objective is difficult to solve directly. Therefore, the Doppler measurements are divided into groups under the minimal solvable condition of the least squares method. The proposed method reduces the complexity of this optimization problem from exponential to linear. The simulation results show that the proposed method can effectively distinguish two interference sources with clock deviations not lower than 5×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−8</sup> and a spatial separation of at least 10 km.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946639
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Simultaneous Localization for Multi-GNSS Interference Source Based on a Single LEO Satellite

Zhichao Cui, Weiheng Dai, Jian Cheng, Jian Zhang et al.
Inertial Sensor and Navigation
article

Simultaneous Localization for Multi-GNSS Interference Source Based on a Single LEO Satellite

Zhichao Cui, Weiheng Dai, Jian Cheng, Jian Zhang, Guangxia Li
article en

Abstract

A multi-GNSS interference source localization method is proposed in this letter. A single low-earth orbit satellite is used to monitor the Doppler of multiple GNSS interference sources and solve the positions. The localization problem is modeled as an optimization problem with a 0-1 integer programming form. Due to the solution space of the optimization problem being of an exponential magnitude, the optimization objective is difficult to solve directly. Therefore, the Doppler measurements are divided into groups under the minimal solvable condition of the least squares method. The proposed method reduces the complexity of this optimization problem from exponential to linear. The simulation results show that the proposed method can effectively distinguish two interference sources with clock deviations not lower than 5×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−8</sup> and a spatial separation of at least 10 km.

PLA Army Engineering University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 52%
Inertial Sensor and Navigation
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.