A New Track Initiation Method for HFCSSMR

High Frequency Combined Sky and Surface- Wave Monostatic Radar (HFCSSMR) is a new type of over-the-horizon radar which utilizes a combined propagation mode of sky and surface waves for target detection. The radar may receive four different propagation modes' echoes from a single target without considering the ionospheric stratification. When the one-point track initiation algorithm is applied, all the propagation modes need to be initiated, and the amount of computation is extensive. This article proposes a new track initiation method in HFCSSMR to solve this problem, which first uses the prior information of ionospheric height to determine the propagation mode of echoes, and then initiates the state estimation and covariance for the determined modes rather than all modes. The simulation results show that this method can achieve effective propagation mode judgment, so as to reduce the amount of calculation of target tracking in HFCSSMR.

Authors

Institutions

Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/icicsp62589.2024.10809126
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A New Track Initiation Method for HFCSSMR

Huilin Mu, Xiaolong Hu, Mengxiao Zhao, Qiushi Chen
Anomaly Detection Techniques and Applications
article

A New Track Initiation Method for HFCSSMR

Huilin Mu, Xiaolong Hu, Mengxiao Zhao, Qiushi Chen
article en

Abstract

High Frequency Combined Sky and Surface- Wave Monostatic Radar (HFCSSMR) is a new type of over-the-horizon radar which utilizes a combined propagation mode of sky and surface waves for target detection. The radar may receive four different propagation modes' echoes from a single target without considering the ionospheric stratification. When the one-point track initiation algorithm is applied, all the propagation modes need to be initiated, and the amount of computation is extensive. This article proposes a new track initiation method in HFCSSMR to solve this problem, which first uses the prior information of ionospheric height to determine the propagation mode of echoes, and then initiates the state estimation and covariance for the determined modes rather than all modes. The simulation results show that this method can achieve effective propagation mode judgment, so as to reduce the amount of calculation of target tracking in HFCSSMR.

Air Force Engineering University (CN)
Natural Science Foundation of Shaanxi Province
Openalex Percentile: Top 78%
Anomaly Detection Techniques and Applications
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.