Results 51 to 60 of about 126,064 (190)

Concealed Object Detection and Recognition System Based on Millimeter Wave FMCW Radar

open access: yesApplied Sciences, 2021
At present, millimeter wave radar imaging technology has become a recognized human security solution in the field. The millimeter wave radar imaging system can be used to detect a concealed object; multiple-input multiple-output radar antennas and ...
Jie Liu   +5 more
doaj   +1 more source

Feasibility study and design concept for an orbiting ice-penetrating radar sounder to characterize in three-dimensions the Europan ice mantle down to (and including) any ice/ocean interface [PDF]

open access: yes, 1999
This report presents a radar sounding model based on the range of current working hypotheses for the nature of Europa's icy shell.Institute for ...
Blankenship, D.D.   +15 more
core   +1 more source

On the anti‐intercept features of noise radars

open access: yesIET Radar, Sonar & Navigation
Robustness against Electronic Warfare/Electronic Defence attacks represents an important advantage of Noise Radar Technology (NRT). An evaluation of the related Low Probability of Detection (LPD) and of Intercept (LPI) is presented for Continuous ...
Gaspare Galati, Gabriele Pavan
doaj   +1 more source

Noise Radar Waveform Design Using Evolutionary Algorithms and Negentropy Constraint

open access: yesRemote Sensing
In recent years, several advantages of noise radars have positioned this technology as a promising alternative to conventional radar technology. Immunity to jamming, low mutual interference, and low probability of interception are good examples of these ...
Afonso L. Sénica   +2 more
doaj   +1 more source

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

open access: yesIEEE Access, 2019
Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN) is
Zhiyu Qu   +3 more
doaj   +1 more source

Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments

open access: yesLeida xuebao, 2020
With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI   +3 more
doaj   +1 more source

Performances of multitones for ultra-wideband software-defined radar [PDF]

open access: yes, 2017
From the literature review, it is apparent that there is a gap in quantifying the performances of multitone waveforms specifically for radar applications and experimental results are not commonly found.
Le Kernec, Julien, Romain, Olivier
core   +3 more sources

A 24-GHz SiGe Phased-Array Receiver—LO Phase-Shifting Approach [PDF]

open access: yes, 2005
A local-oscillator phase-shifting approach is introduced to implement a fully integrated 24-GHz phased-array receiver using an SiGe technology. Sixteen phases of the local oscillator are generated in one oscillator core, resulting in a raw beam-forming ...
Guan, Xiang   +3 more
core   +1 more source

The Fundamentals of Radar with Applications to Autonomous Vehicles [PDF]

open access: yes, 2019
Radar systems can be extremely useful for applications in autonomous vehicles. This paper seeks to show how radar systems function and how they can apply to improve autonomous vehicles.
Rummel, Kameron
core   +1 more source

Persepsi pelajar sarjana muda kejuruteraan elektrik terhadap program latihan industri, Kolej Universiti Teknologi Tun Hussein Onn [PDF]

open access: yes, 2002
Kajian ini dijalankan bertujuan untuk mengetahui persepsi Pelajar Sarjana Muda Kejuruteraan Elektrik Terhadap Program Latihan Industri, KUiTTHO berdasarkan kepada 4 faktor iaitu kesesuaian penempatan program latihan industri, kesesuaian pendedahan ...
Mohamad Nur, Hanirah
core  

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