Results 1 to 10 of about 12,817 (119)

Transversal Displacement Detection of an Arched Bridge with a Multimonostatic Multiple-Input Multiple-Output Radar [PDF]

open access: yesSensors
Interferometric radars are widely used for monitoring civil structures. Bridges are critical structures that need to be constantly monitored for the safety of the users.
Lorenzo Pagnini   +3 more
doaj   +2 more sources

Real-Time Multiple Input Multiple Output (MIMO) Radar Using Software Defined Radio [PDF]

open access: yesITM Web of Conferences, 2022
In this paper, commercially-available software-defined radios (SDRs) are used to build a 64-channel, reconfigurable Active Electronically Scanned Arrays (AESA) radar operating in C-band (NATO G-band).
Gilpin Robert   +2 more
doaj   +1 more source

Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system

open access: yesIET Signal Processing, 2022
This study discusses the integrated system of full‐duplex (FD) multiple‐input‐multiple‐output (MIMO) communication and MIMO radar, which has been rarely considered in published studies.
Shengnan Shi, Zishu He, Ziyang Cheng
doaj   +1 more source

Novel Movement-Based Methods for the Calibration of Colocated Multiple-Input Multiple-Output Radars

open access: yesIEEE Access, 2023
It is well-known that the availability of transmit and receive arrays in colocated multiple-input multiple-output radar systems can be exploited to detect multiple targets, and estimate their range and angular coordinates.
Giorgio Guerzoni   +4 more
doaj   +1 more source

A Comparison between Multiple-Input Multiple-Output and Multiple-Input Single-Output Radar Configurations for Through-the-Wall Imaging Applications

open access: yesInternational Journal of Antennas and Propagation, 2022
The performances of a multiple-input multiple-output (MIMO) radar, employing 16 equivalent antennas, and multiple-input single-output (MISO) radar, employing 10 antennas, for through-the-wall imaging applications are analyzed.
Stefano Pisa   +3 more
doaj   +1 more source

Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring

open access: yesEuropean Journal of Remote Sensing, 2022
This study focuses on investigating the capabilities of a Multiple-input multiple-output RADAR. A Radar interferometer, based on an electronically scanned array in MIMO configuration (MIMO‐SAR), has been assessed for operational use in monitoring ...
Francesco Mugnai, Dario Tarchi
doaj   +1 more source

Unimodular multiple‐input‐multiple‐output radar wave‐form design with desired correlation properties

open access: yesIET Radar, Sonar & Navigation, 2022
Unimodular waveforms with good correlation properties are desired for multiple‐input‐multiple‐output radar to achieve an increased transmitting/receiving virtual aperture. In this study, a new optimisation framework is introduced to design waveforms with
Zhongrui Huang   +3 more
doaj   +1 more source

High Fidelity Physics-Based Simulation of a 512-Channel 4D-Radar Sensor for Automotive Applications

open access: yesIEEE Access, 2023
Radar has emerged as a core sensing technology for many active-safety and comfort related advanced driver assistance systems (ADAS) being deployed in today’s vehicles. Using radar technology, the ego vehicle can simultaneously detect the range and
Ushemadzoro Chipengo
doaj   +1 more source

Quantisation‐based target detection for cooperative multiple input multiple output radar and communications with multiple stations

open access: yesIET Signal Processing, 2022
Target detection is investigated for the emerging integrated radar and communication (IRC) systems. Consider the case, where multiple radar and communication stations are physically separated, possibly widely spaced, while working in a cooperative way ...
Zhen Wang, Qian He
doaj   +1 more source

CNN-based multiple-input multiple-output radar image enhancement method

open access: yesThe Journal of Engineering, 2019
In this study, the convolutional neural network (CNN) is utilised to enhance the quality of radar images. First, a four-layer convolutional neural network is trained. The input of it is a complex valued two-dimensional low-resolution radar image, and the
Yongpeng Dai   +4 more
doaj   +1 more source

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