Results 41 to 50 of about 7,204,358 (165)

Adaptive Multi‐Feature Validation Algorithm for Hovering UAV Detection via LFMCW Radar: Leveraging Micro‐Doppler Spectral Characteristics

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The document proposes the micro‐Doppler spectral feature‐guided LFMCW radar detection algorithm (MDSF‐LRDA) to solve the high false alarm problem of detecting hovering rotor UAVs in cluttered environments, a limitation that plagues traditional radar methods relying on significant Doppler shifts.
Tao Chen, Jianbo Zhao, Lutao Liu
wiley   +1 more source

A versatile hardware architecture for a constant false alarm rate processor based on a linear insertion sorter [PDF]

, 2010
Constant False Alarm Rate (CFAR) algorithms are used in digital signal processing applications to extract targets from background in noisy environments.
JOSE ROBERTO PEREZ ANDRADE, CLAUDIA FEREGRINO URIBE, RENE ARMANDO CUMPLIDO PARRA, FERNANDO MARTIN DEL CAMPO RAMIREZ   +3 more
core  

Online Moving Interference Target Perception and Suppression for Passive Radar Detection of UAVs

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
An adaptive online prediction and suppression method for ground moving target interference based on an autoregressive model is proposed. The method performs regional partitioning and removal of ground interference targets by estimating and utilising the occurrence frequency of moving target interference.
Tianrun Wang, Shengheng Liu, Yuan Feng, Yingshi Liu, Chenyu Wen, Zhi Wang, Zhenghang Wang, Tao Shan   +7 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

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

Graph‐Based Spectrum Sensing via Quadratic Form of Adjacency Matrix

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This graphical abstract presents a graph‐signal‐processing‐based spectrum sensing algorithm for robust primary user detection at low signal‐to‐noise ratios (SNR). The observed signal is preprocessed via power spectrum calculation and block summation, and then transformed into a graph.
Yan Gao, Guobing Hu, Yunfei Chen
wiley   +1 more source

Wavelength-resolution SAR change detection with constant false alarm rate

, 2017
The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes ...
Viet T. Vu, Patrik Dammert, Mats Pettersson, Dammert, Patrik,, Natanael R. Gomes, Hellsten, Hans,, Gomes, Natanael,, Vu, Viet Thuy,, Hans Hellsten, Pettersson, Mats,   +9 more
core   +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

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

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