Efficient and optimal penetration path planning for stealth unmanned aerial vehicle using minimal radar cross-section tactics and modified A-Star algorithm

Z Zhang, J Jiang, J Wu, X Zhu - ISA transactions, 2023 - Elsevier
Penetration path planning for stealth unmanned aerial vehicles (SUAVs) in the integrated air
defense system (IADS) has been a hot research topic in recent years. The present study …

Pseudo‐Zernike‐based multi‐pass automatic target recognition from multi‐channel synthetic aperture radar

C Clemente, L Pallotta, I Proudler… - IET Radar, Sonar & …, 2015 - Wiley Online Library
The capability to exploit multiple sources of information is of fundamental importance in a
battlefield scenario. Information obtained from different sources, and separated in space and …

Image based robust target classification for passive ISAR

A Manno-Kovacs, E Giusti, F Berizzi… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper presents an automatic and robust, image feature-based target extraction, and
classification method for multistatic passive inverse synthetic aperture radar range/cross …

[PDF][PDF] A Review of Ground Target Detection and Classification Techniques in Forward Scattering Radars.

MEA Kanona, MG Hamza, AG Hassan… - … Technology & Applied …, 2018 - researchgate.net
This paper presents a review of target detection and classification in forward scattering radar
(FSR) which is a special state of bistatic radars, designed to detect and track moving targets …

VHF cross-range profiling of aerial targets via passive ISAR: Signal processing schemes and experimental results

F Colone, D Pastina, V Marongiu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The possibility of obtaining cross-range profiles of aerial targets is contemplated in this
paper by applying inverse synthetic aperture radar (ISAR) techniques against FM-based …

Target identification using bistatic high‐resolution range profiles

SJ Lee, SJ Jeong, E Yang… - IET Radar, Sonar & …, 2017 - Wiley Online Library
A novel target identification scheme that utilises high‐resolution range profiles (HRRPs),
which are obtained using bistatic (BS) radar (BS‐HRRPs) and four‐dimensional (4D) …

Deep learning for aircraft classification from VHF radar signatures

J Fix, C Ren, A Costa Lopes, G Morice… - IET Radar, Sonar & …, 2021 - Wiley Online Library
Radio sources in the Very High Frequency (VHF) band can be seized as opportunity donors
in a passive radar configuration such as FM radio stations and VHF omnidirectional range …

A machine learning based vehicle classification in forward scattering radar

MEA Kanona, MY Alias, MK Hassan… - IEEE …, 2022 - ieeexplore.ieee.org
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected
targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree …

Noncooperative registration for multistatic passive radars

J Yi, X Wan, H Leung, M Lu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Multistatic passive radars localize targets by using multiple bistatic range measurements.
Multistatic localization requires all range measurements to be unbiased. It is proved by real …

GNSS based passive bistatic radar for micro-Doppler based classification of helicopters: Experimental validation

C Clemente, T Parry, G Galston… - 2015 IEEE Radar …, 2015 - ieeexplore.ieee.org
The capability of using illuminators of opportunity for target classification is of great interest
to the radar community. In particular the alternative use of Global Navigation Satellite …