Results 11 to 20 of about 3,561,553 (287)

Study on Quantum Radar Detection Probability Based on Flying-Wing Stealth Aircraft. [PDF]

open access: yesSensors (Basel), 2022
The development of quantum radar technology presents a challenge to stealth targets, so it is necessary to study the quantum detection probability. In this study, an analytical expression of the quantum radar cross section (QRCS) for complex targets is ...
Lu S, Meng Z, Huang J, Yi M, Wang Z.
europepmc   +2 more sources

The SIMCA algorithm for processing Ground Penetrating Radar data and its use in landmine detection [PDF]

open access: yes, 2012
The main challenge of ground penetrating radar (GPR) based land mine detection is to have an accurate image analysis method that is capable of reducing false alarms.
Cockshott, W.P.   +3 more
core   +9 more sources

A 2D processing algorithm for detecting landmines using Ground Penetrating Radar data [PDF]

open access: yes, 2012
Ground Penetrating Radar(GPR) is one of a number of technologies that have been used to improve landmine detection efficiency. The clutter environment within the first few cm of the soil where landmines are buried, exhibits strong reflections with ...
Cockshott, W.P., Sengodan, A.
core   +5 more sources

Breast tumour detection using a flat 16 element array [PDF]

open access: yes, 2005
A new experimental prototype of a breast cancer detection technique using real aperture multi-static radar is presented. The system comprises a fully-populated 16 element flat array and an associated system to switch between different transmit and ...
Preece, A   +4 more
core   +4 more sources

Moving target detection in clutter background with FDA-MIMO radar via three-dimensional focus processing

open access: yesThe Journal of Engineering, 2019
Low observable moving target-detection technology under clutter background is the key factor affecting the radar performance. Here, frequency diverse array (FDA) MIMO radar is investigated for low-observable moving target detection.
Xiaolong Chen   +5 more
doaj   +1 more source

Motion classification for radar moving target via STFT and convolution neural network

open access: yesThe Journal of Engineering, 2019
Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou   +3 more
doaj   +1 more source

Numerical investigation of breast tumour detection using multi-static radar [PDF]

open access: yes, 2003
A breast cancer detection technique using multi-static radar is proposed herein. For the first time, images are produced using this technique, using backscatter data produced from an anatomically realistic 2D MRI-derived FDTD model of the breast ...
Hagness, SC   +4 more
core   +5 more sources

Radar Moving Target Detection in Clutter Background via Adaptive Dual-Threshold Sparse Fourier Transform

open access: yesIEEE Access, 2019
In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu   +5 more
doaj   +1 more source

Adaptive Clutter Suppression and Detection Algorithm for Radar Maneuvering Target With High-Order Motions Via Sparse Fractional Ambiguity Function

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Radar maneuvering target detection in clutter background should not only consider the complex characteristics of the target to accumulate its energy as much as possible, but also suppress clutter to improve the signal-to-clutter ratio (SCR).
Xiaolong Chen   +3 more
doaj   +1 more source

Radar Target Detection with CNN

open access: yes2021 29th European Signal Processing Conference (EUSIPCO), 2021
Target detection is a fundamental radar application that is traditionally carried out by Constant False Alarm Rate (CFAR) detectors. This paper proposes a Convolutional Neural Network (CNN) based detector (RadCNN) to replace the standard CFAR detectors for a typical pulsed Doppler radar.
openaire   +3 more sources

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