Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs)
involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition …
involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition …
Target head direction far field radar cross section reduction based on narrow surface element method
Z Zhou, J Huang - Optik, 2020 - Elsevier
To improve the radar scattering characteristics of the target in the head direction, a narrow
surface element (NSE) method based on physical optics (PO) and physical theory of …
surface element (NSE) method based on physical optics (PO) and physical theory of …
Motion state classification for micro‐drones via modified Mel frequency cepstral coefficient and hidden Markov mode
H Tian, C Dong, L Yuan, H Yin - Electronics Letters, 2022 - Wiley Online Library
In radar detection for micro‐drones, the performance of the characteristics and features of
micro‐drones distinctly varies depending on their motion states. Therefore, this study …
micro‐drones distinctly varies depending on their motion states. Therefore, this study …
Radar working‐state identification using the hidden Markov model
W Zhang, Y Gao, K Zheng - The Journal of Engineering, 2019 - Wiley Online Library
Using the statistical signal processing principle in the field of natural language processing, a
radar state identification approach based on the hidden Markov model (HMM) is proposed …
radar state identification approach based on the hidden Markov model (HMM) is proposed …
Radar emitter identification using hidden markov model
W Zhang, X Yin, X Cao, Y **e… - 2019 IEEE 3rd Advanced …, 2019 - ieeexplore.ieee.org
Using the statistical signal processing principle, which is widely used in the field of natural
language processing (NLP), a radar emitter identification (REI) approach based on hidden …
language processing (NLP), a radar emitter identification (REI) approach based on hidden …
Maritime automatic target recognition for ground-based scanning radars by usingsequential range profiles
Classification of marine targets using radar data products has become an important area for
modern researchsociety. However, due to several reasons such as the similarity between …
modern researchsociety. However, due to several reasons such as the similarity between …
Research on Modeling of Air Target Motion Characteristics and Track Identification Method
Z Wang, H Zhang, K ** - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
The track is an important basis for the classification and identification of radar air targets. In
this paper, the equations of the aircraft motion model, including the horizontal straight, the …
this paper, the equations of the aircraft motion model, including the horizontal straight, the …
A Novel Approach to Target Scene Detection and Identification: Theory & Experiments
MJ Simms - 2016 - rave.ohiolink.edu
This thesis presents theoretical analysis and experimental evidence to demonstrate the
feasibility of an ultra-wideband (UWB) software-de fined radar sensor (SDRS) for detection …
feasibility of an ultra-wideband (UWB) software-de fined radar sensor (SDRS) for detection …
Deniz hedeflerinin otomatik olarak sınıflandırılmasında soa yaklaşımının kullanımı
B Batı - 2021 - dspace.kocaeli.edu.tr
Radar verileri kullanılarak deniz hedeflerinin sınıflandırılması modern akademik
çalışmalarda önemli bir çalışma alanı olarak ortaya çıkmaktadır. Ancak, hedef tiplerinin …
çalışmalarda önemli bir çalışma alanı olarak ortaya çıkmaktadır. Ancak, hedef tiplerinin …