Results 41 to 50 of about 1,583 (182)
With oceanic reverberation and a large amount of data being the main sources of interference for underwater acoustic target detection, it is difficult to obtain a more robust detection performance by relying on the traditional constant false alarm rate ...
Zhou Chen +10 more
doaj +1 more source
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley +1 more source
A Novel Copula-Based Multi-Feature CFAR Framework for Radar Target Detection
Multi-feature radar target detection enhances the discrimination between targets and clutter, thereby improving detection accuracy. However, the complex nonlinear dependencies among features present significant challenges for precise control of the false
Juan Li +5 more
doaj +1 more source
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
We propose a two‐step robust beamforming design for ISAC that maximises multi‐target detection probability while satisfying multi‐user SINR and per‐antenna power constraints. A sensing‐only Riemannian optimisation on the oblique manifold shapes the transmit covariance, followed by SDR‐based reconstruction to enforce communication guarantees ...
Yong Wang, Xianren Kong
wiley +1 more source
A constant false alarm rate (CFAR) detector for RADARSAT-2 along-track interferometry
Canada's RADARSAT-2 synthetic aperture radar (SAR) satellite will be equipped with an experimental ground moving target indication (GMTI) mode, which makes use of the "dual-receive" capability of the RADARSAT-2 antenna to provide two apertures aligned in the along-track direction.
openaire +1 more source
Detection of very close targets by fusion CFAR detectors [PDF]
In this paper the new application results of Linear and NonLinear Fusion Constant False Alarm Rate (LF-CFAR and NLF- CFAR) detectors are presented. Detection of very close targets per azimuth and per range is considered.
Ivković Dejan +2 more
doaj
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
Online Moving Interference Target Perception and Suppression for Passive Radar Detection of UAVs
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 +7 more
wiley +1 more source
DETEKSI SINYAL TARGET PADA RADAR MENGGUNAKAN METODE ROBUST CONSTANT FALSE ALARM RATE (CFAR) [PDF]
Radio detection and ranging merupakan suatu sistem yang berfungsi untuk mendeteksi, mengukur jarak, ketinggian, serta memetakan suatu objek yang berada disekitar pantauan radar. Secara mendasar radar memiliki tiga fungsi, yaitu untuk detection, tracking,
SANATRYA IRFANI
core
Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments
A constant false alarm rate (CFAR) target detector in non-homogenous backgrounds is proposed. Based on K-sample Anderson-Darling (AD) tests, the method re-arranges the reference cells by merging homogenous sub-blocks surrounding the cell under test (CUT)
Yang Li +3 more
doaj +1 more source

