Results 21 to 30 of about 657 (173)
Convolutional neural networks for radar HRRP target recognition and rejection
EURASIP Journal on Advances in Signal Processing, 2019 Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-based radar automatic target recognition (RATR). In order to explore the correlation between range cells and extract the structured discriminative features in ...
Jinwei Wan +4 more
doaj +1 more source
A New MCMC Sampling Based Segment Model for Radar Target Recognition [PDF]
, 2015 One of the main tools in radar target recognition is high resolution range profile (HRRP). However, it is very sensitive to the aspect angle. One solution to this problem is to assume the consecutive samples of HRRP identically independently ...
Hadavi, M., Nayebi, M. M., Radmard, M.
core +2 more sources
IET Radar, Sonar &Navigation, Volume 16, Issue 12, Page 1997-2016, December 2022., 2022 Abstract Convolution neural networks (CNNs) represent one of the workhorses of artificial intelligence applications. As a typical artificial intelligence application, a high‐resolution range profile (HRRP) target recognition method based on CNNs has aroused a lot of research interest. Most CNNs use a relatively small and single‐scale convolution kernel
Qian Xiang +5 more
wiley +1 more source
Non-cooperative target identification based on singular value decomposition [PDF]
, 2015 Non-Cooperative Target Identification based on High Resolution Range Profiles is a key research domain in the Defense industry. In this paper a method based on the application of Singular Value Decomposition to a matrix of range profiles is defined.
Bravo Muñoz, Ignacio +4 more
core +1 more source
Multi‐subband fusion algorithm based on autoencoder
IET Signal Processing, Volume 16, Issue 9, Page 1071-1084, December 2022., 2022 Abstract A novel algorithm for multi‐subband signal fusion achieves performance superior to traditional all‐pole model, matrix pencil algorithm and deep‐neural‐network (Deep neural network (DNN)). The method uses a deep‐learning autoencoder more fully described as a multi‐subband fusion autoencoder (MSFAE). This autoencoder comprises two parts: a multi‐
Yilin Jiang +4 more
wiley +1 more source
A method for transforming 2D imaging features with the AFSS‐loaded rotating Luneberg lens reflector
IET Microwaves, Antennas &Propagation, Volume 16, Issue 14, Page 860-868, November 2022., 2022 Abstract The micro‐motion target can perform micro‐Doppler modulation on the electromagnetic wave due to motion components in different directions, leading to the defocus effect of the target imaging feature along the azimuth direction. This phenomenon has been widely concerned and investigated in the field of target recognition and anti‐recognition ...
Yong Xu +3 more
wiley +1 more source
Radar Target Recognition by Convolutional Capsule Networks Based on High-Resolution Range Profile
IEEE Access, 2022 Automatic target recognition (ATR) is of increasing importance for the modern radar system, where the high-resolution range profile (HRRP) is essential.
Xianwen Zhang +3 more
doaj +1 more source
Non-cooperative identification of civil aircraft using a generalised mutual subspace method [PDF]
, 2016 The subspace-based methods are effectively applied to classify sets of feature vectors by modelling them as subspaces. However, their application to the field of non-cooperative target identification of flying aircraft is barely seen in the literature ...
Bravo Muñoz, Ignacio +3 more
core +3 more sources
Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition
EURASIP Journal on Advances in Signal Processing, 2008 In this paper the manifold geometry in radar high-resolution range profile (HRRP) is firstly explored, and then, according to the characteristics of target pose sensitivity, a method of adaptively segmenting the aspect sectors is proposed for HRRP ...
Zheng Bao, Li Yuan, Hongwei Liu, Bo Chen
doaj +1 more source
IEEE Access, 2019 Polarimetric high resolution range profile (HRRP) contains the geometrical structural information along radar line-of-sight and has shown great potentials in target recognition. In existing researches, H/α decomposition has been applied to exploit
Teng Long +3 more
doaj +1 more source