Results 1 to 10 of about 17,089 (164)

Deep forest for radar HRRP recognition [PDF]

Journal of Engineering, 2019
High‐resolution range profile (HRRP) has received intensive attention in the radar automatic target recognition filed. Here, deep forest is applied to the recognition of HRRP. The deep forest is a deep learning method, which is a cascade of ensemble learners. In each layer, there are various ensemble learners. The input of each layer is the combination
Teng Long
exaly   +4 more sources

Radar HRRP recognition based on CNN [PDF]

The Journal of Engineering, 2019
In this study, ground target recognition based on one-dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high-resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially,
Jia Song, Yanhua Wang, Wei Chen, Yang Li, Junfu Wang   +4 more
semanticscholar   +3 more sources

A Novel Radar HRRP Recognition Method with Accelerated T-Distributed Stochastic Neighbor Embedding and Density-Based Clustering. [PDF]

Sensors (Basel), 2019
High-resolution range profile (HRRP) has attracted intensive attention from radar community because it is easy to acquire and analyze. However, most of the conventional algorithms require the prior information of targets, and they cannot process a large ...
Wu H, Dai D, Wang X.
europepmc   +2 more sources

Limited Sample Radar HRRP Recognition Using FWA-GAN

Remote Sensing
In radar High-Resolution Range Profile (HRRP) target recognition, the targets of interest are always non-cooperative, posing a significant challenge in acquiring sufficient samples.
Yiheng Song, Liang Zhang, Yanhua Wang
semanticscholar   +3 more sources

Radar HRRP Sequence Target Recognition Based on a Lightweight Spatiotemporal Fusion Network. [PDF]

Sensors (Basel)
High-resolution range profile (HRRP) sequence recognition in radar automatic target recognition faces several practical challenges, including severe category imbalance, degradation of robustness under complex and variable operating conditions, and strict
Li X, Su Y, Zhao X, Yin J, Yang J.
europepmc   +2 more sources

High‐Resolution Range Profile Sequence Recognition Based on Transformer with Temporal–Spatial Fusion and Label Smoothing

Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
To further improve the performance of high‐resolution range profile sequence recognition, a transformer with temporal–spatial fusion and label smoothing is proposed, which can extract deep global features in both temporal and spatial domains and adopt the attention fusion mechanism to realize efficient feature fusion.
Xiaodan Wang, Peng Wang, Yafei Song, Qian Xiang, Jingtai Li   +4 more
wiley   +1 more source

Flexible blanket synthetic aperture radar jamming using joint frequency and phase modulation

IET Radar, Sonar &Navigation, Volume 17, Issue 7, Page 1129-1141, July 2023., 2023
In this study, a flexible blanket jamming method against SAR is proposed using joint frequency and phase modulation. The proposed method can form two‐dimensional square‐shaped blanket sidelobes in the SAR image by the coded phase modulation in both fast and slow time domain.
Qihua Wu, Xiaobin Liu, Zhiming Xu, Feng Zhao, Zhaoyu Gu, Shunping Xiao   +5 more
wiley   +1 more source

Three‐dimensional point cloud reconstruction of inverse synthetic aperture radar image sequences based on back projection and iterative closest point fusion

IET Radar, Sonar &Navigation, Volume 17, Issue 3, Page 503-521, March 2023., 2023
A new 3D reconstruction method for stable targets from sequential ISAR images is proposed in this paper. Firstly, the inverse synthetic aperture radar (ISAR) images are preprocessed with the CLEAN algorithm. The maximum between‐cluster variance method (OTSU) is applied to extract feature points from the processed images.
Yu Wang, Shuai Li, Tingting He, Biao Tian, Zengping Chen   +4 more
wiley   +1 more source

Artificial intelligence meets radar resource management: A comprehensive background and literature review

IET Radar, Sonar &Navigation, Volume 17, Issue 2, Page 153-178, February 2023., 2023
Abstract A multi‐function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. A radar resource management (RRM) module within a radar system makes decisions on prioritisation, parameter selection, and scheduling of associated ...
Umair Sajid Hashmi, Sunila Akbar, Raviraj Adve, Peter W. Moo, Jack Ding   +4 more
wiley   +1 more source

Multitask Sparse Representation of Two‐Dimensional Variational Mode Decomposition Components for SAR Target Recognition

Scientific Programming, Volume 2023, Issue 1, 2023., 2023
A synthetic aperture radar (SAR) automatic target recognition (ATR) method is developed based on the two‐dimensional variational mode decomposition (2D‐VMD). 2D‐VMD decomposes original SAR images into multiscale components, which depict the time‐frequency properties of the targets.
Wenbo Weng, Dongpo Xu
wiley   +1 more source