Results 61 to 70 of about 1,583 (182)

A Novel iTransformer-Based Approach for AIS Data-Assisted CFAR Detection

Journal of Marine Science and Engineering
Detection of small vessels is of great significance for maritime safety assurance, abnormal vessel tracking, illegal fishing supervision, and combating smuggling.
Yongfeng Suo, Zhenkai Yuan, Lei Cui, Gaocai Li, Mei Sun   +4 more
doaj   +1 more source

Deep Learning‐Based End‐to‐End Target Detection for Active Sonar With Frequency‐Domain Input

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces SSA‐Net, a novel end‐to‐end deep learning framework that bypasses conventional beamforming and matched filtering for active sonar target detection. The model directly maps raw multichannel frequency‐domain data to azimuthal detection probabilities using a specialised architecture with decoupled convolutional and spatial attention ...
JiaZuo Qing, GaoFeng Cheng, Ji Xu, YongHong Yan, WeiZhen Ma, QiYang Tang, JunTu Wang   +6 more
wiley   +1 more source

Object Detector on Coastal Surveillance Radar Using Two-Dimensional Order-Statistic Constant-False Alarm Rate Algoritm

, 2015
This paper describes the development of radar object detection using two dimensional constant false alarm rate (2D-CFAR). Objective of this development is to minimize noise detection if compared with the previous algorithm that uses one dimensional ...
Suryadi, Arif; Indonesian Institute of Science, Kurniawan, Dayat; Indonesian Institute of Science, Syamsu, Iqbal; Indonesian Institute of Science, Praludi, Teguh; Indonesian Institute of Science, Adhi, Purwoko; Indonesian Institute of Science   +4 more
core   +1 more source

Autonomous Radar Ornithology: Benchmarking Automated Bird Detection and Tracking

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This study evaluates the performance of the GlobAl Nearest Neighbour targEt Tracker (GANNET), a low‐cost automated algorithm for detecting and tracking bird‐like targets in X‐band marine radar imagery, using over 55,000 detections and 34,000 trajectories from the Fall of Warness tidal test site.
Amy L. Jones, David L. McCann, Lucy J. Mitchell, Jason McIlvenny, Benjamin J. Williamson   +4 more
wiley   +1 more source

Impact of Common Indoor Materials on 77–81 GHz mmWave Radar Performance: Signal Behaviour, Attenuation and Reflection Characteristics

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper investigates the impact of common indoor materials on mmWave radar signal behaviour at 77–81 GHz. Experimental results quantify material‐dependent attenuation and reflection effects under line‐of‐sight and non‐line‐of‐sight scenarios, providing actionable guidance for radar deployment and indoor sensing applications.
Mashal Al Bimani, Salem Aljareh, William Dawber   +2 more
wiley   +1 more source

Joint Beam and Power Allocation for Cooperative Jamming in Terrain‐Constrained Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This study addresses the critical challenge of aircraft formation cooperative jamming against networked radar systems (NRS) in complex electromagnetic and geographical environments. We believe this work aligns well with your journal's focus on advanced remote sensing technologies, signal processing and the analysis of complex environmental interactions.
Tianjian Yang, You Chen, Siyi Cheng, Xi Zhang, Haoyang Li, Kangze Wang   +5 more
wiley   +1 more source

A constant-false-alarm-rate algorithm

, 1992
The constant-false-alarm-rate (CFAR) detection algorithm is used for the detection of an optical target in an image dominated by optical clutter. The algorithm can be used for many aerial images when a clutter-subtraction technique is incorporated.
Bunch, James R., Fierro, Ricardo D.
core   +1 more source

Single‐Channel Multi‐Component Linear Frequency Modulation Signal Blind Separation Based on Multi‐Feature Enhanced Swin‐Transformer

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the underdetermined blind source separation problem of single‐channel multi‐component linear frequency modulation (LFM) signals, the separation task is reformulated as a semantic segmentation problem on time‐frequency spectrograms. A multi‐feature enhanced Swin‐Transformer network, integrating an optimised convolutional block attention ...
Weifeng Sun, Xinyue Wang, Chao Zhang, Peng Zhang, Qi Liu   +4 more
wiley   +1 more source

A Radar Target Feature Detection Method Based on Random Permutation of Fractional Fourier Transform Spectrum Matrix

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
Traditional coherent integration detection methods based on the fractional Fourier transform (FRFT) suffer from high redundancy and difficulty in controlling the false alarm probability during detection fusion; existing feature detection methods that utilise the maximum singular value of the FRFT spectrum matrix fail to consider the impact of spectral ...
Yong Huang, Yunhao Luan, Yunlong Dong, Jian Guan   +3 more
wiley   +1 more source

A Study of Selected Constant False Alarm Rate (CFAR) Detectors for Vessels with Compact and Dual Polarimetric Synthetic Aperture Radar (SAR)

Canadian Journal of Remote Sensing
Space-based polarimetric synthetic aperture radar (SAR) plays an important role in wide-area maritime surveillance and vessel detection. Traditionally, dual polarimetric (DP) SAR has been preferred for such applications, but compact polarimetric CP SAR is a newer option that potentially offers improved backscatter characterization of targets. There are
Rashid, Mamoon, Gierull, Christoph, Rajan, Sreeraman   +2 more
openaire   +1 more source