Results 31 to 40 of about 381 (138)

Detection of Unknown Radar Pulses Using Spiking Neural Networks

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This article proposes to use spiking neural networks (SNNs) to detect multiple pulses in observation windows from a superheterodyne receiver. The method is described from encoding to postprocessing. New metrics are introduced to compare the proposed detection method to the energy detector (ED), to a detection based on difference Of boxes (DOB) filters ...
Alexia Tachet, Fabrice Comblet, Ali Khenchaf   +2 more
wiley   +1 more source

Model-Based Wald Test for Adaptive Range-Spread Target Detection

IEEE Access, 2020
For the problem of range-spread target detection, many adaptive detectors commonly estimate the covariance matrix of the disturbance by utilizing the training data without target information.
Jiabao Liu, Meiguo Gao, Jihong Zheng, Junling Wang   +3 more
doaj   +1 more source

MIMO Radar Detection Algorithms With Location Capabilities for Heterogeneous Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The design of adaptive detection and localisation algorithms in the context of MIMO radars is still an untraveled research route. In this paper, we present new decision schemes for MIMO radars capable of estimating, as a byproduct, the scatterer positions within the range‐Doppler bin under test and that can operate in both homogeneous and heterogeneous
Tianqi Wang, Chaoran Yin, Da Xu, Chengpeng Hao, Danilo Orlando, Giuseppe Ricci   +5 more
wiley   +1 more source

An Applied Method for Clustering Extended Targets With UHF Radar

IEEE Access, 2020
In this paper, the application of coherent ultra-high frequency (UHF) Doppler radar for ship target detection over river is investigated. Due to the wide beam and high resolution of UHF radar, ship target echoes are usually significantly extended in both
Chunming Kuang, Caijun Wang, Biyang Wen, Weimin Huang   +3 more
doaj   +1 more source

GNSS Spoofing Detection Based on Ionospheric Model Deviation Monitoring

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The deviation of TEC (DTEC) consistency between DF measurements and empirical model estimations in authentic scenarios is not zero but is predictable through ionospheric annual periodicity. However, DF spoofers typically struggle to accurately counterfeit the authentic TEC value, which can disrupt the consistency between DTEC measurements and ...
Xiaoxuan Xu, Haixuan Fu, Zhenyang Wu, Yuhao Xiao, Hong Li   +4 more
wiley   +1 more source

Performance evaluation of CA-, GO- and SO-CFAR processors in a non-centered Lévy-distributed clutter

Majlesi Journal of Electrical Engineering
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, Abdelhalim Rabehi, Slimane Benmahmoud   +2 more
doaj   +1 more source

Joint Target Discrimination and Ambiguity Resolution for Airborne Radar via Physics‐Guided Spatio‐Temporal Transformer

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
Traditional ambiguity resolution methods relying on local decision mechanisms and idealised numerical rules are prone to performance degradation in complex scenarios characterised by low SNR and dense residual clutter. To address this limitation, this paper proposes a physics‐guided spatio‐temporal transformer (PG‐STT) algorithm, where physically ...
Yuxin Zuo, Qicheng Wang, Hua Jing, Zhaolei Liu   +3 more
wiley   +1 more source

Seafloor terrain detection from acoustic images utilizing the fast two-dimensional CMLD-CFAR

International Journal of Naval Architecture and Ocean Engineering, 2021
In order to solve the problem of false terrains caused by environmental interferences and tunneling effect in the conventional multi-beam seafloor terrain detection, this paper proposed a seafloor topography detection method based on fast two-dimensional
Jiaqi Wang, Haisen Li, Weidong Du, Tianyao Xing, Tian Zhou   +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

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