Results 61 to 70 of about 6,791,449 (184)
Deep Learning‐Based End‐to‐End Target Detection for Active Sonar With Frequency‐Domain Input
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 +6 more
wiley +1 more source
Autonomous Radar Ornithology: Benchmarking Automated Bird Detection and Tracking
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 +4 more
wiley +1 more source
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 +2 more
wiley +1 more source
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 +2 more
openaire +1 more source
Joint Beam and Power Allocation for Cooperative Jamming in Terrain‐Constrained Environments
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 +5 more
wiley +1 more source
Radar data extraction and constant false alarm rate (CFAR) processing
Digital signal processing is essential to any modern radar and communication system. The motivation of this research was aimed to develope the analog-to-digital converter and Constant False Alarm Rate (CFAR) detector of the radar signal processing system.
Zhao, Lei.
core
Performance evaluation of CA-, GO- and SO-CFAR processors in a non-centered Lévy-distributed clutter
Constant false alarm rate (CFAR) processors are critical for radar reliable target detection in radar systems. Traditional CFAR designs often assume Gaussian clutter, which may not reflect real-world conditions.
El-Hadi Meftah +2 more
doaj +1 more source
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 +4 more
wiley +1 more source
Design and experimental validation of knowledge-based constant false alarm rate detectors
This paper deals with the design and the analysis of constant false alarm rate (CFAR) detectors exploiting knowledge-based (KB) processing techniques. The proposed algorithms are composed of two stages.
DE MAIO, ANTONIO, A. Farina, G. Foglia
core +1 more source
ADOS-CFAR Algorithm for Multibeam Seafloor Terrain Detection
To solve the false terrain problem caused by the tunnel effect in the conventional multibeam seafloor terrain detection, a detection method of multibeam seafloor terrain based on the ADOS-CFAR (Amplitude Dichotomy Order-Statistics Constant False Alarm ...
Weidong Du +4 more
doaj +1 more source

