Results 11 to 20 of about 6,781,125 (373)

Joint Transmit Resource Management and Waveform Selection Strategy for Target Tracking in Distributed Phased Array Radar Network

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 2022
In this article, a joint transmit resource management and waveform selection (JTRMWS) strategy is put forward for target tracking in distributed phased array radar network.
C. Shi   +4 more
semanticscholar   +1 more source

On the Rollout of Network Slicing in Carrier Networks: A Technology Radar [PDF]

open access: yesSensors, 2021
Network slicing is a powerful paradigm for network operators to support use cases with widely diverse requirements atop a common infrastructure. As 5G standards are completed, and commercial solutions mature, operators need to start thinking about how to integrate network slicing capabilities in their assets, so that customer-facing solutions can be ...
Jose Ordonez-Lucena   +4 more
openaire   +4 more sources

Joint Route Optimization and Multidimensional Resource Management Scheme for Airborne Radar Network in Target Tracking Application

open access: yesIEEE Systems Journal, 2022
In this article, we investigate the problem of joint route optimization and multidimensional resource management (JRO-MDRM) for an airborne radar network in target tracking application.
C. Shi   +4 more
semanticscholar   +1 more source

Implementation Method of Automotive Video SAR (ViSAR) Based on Sub-Aperture Spectrum Fusion

open access: yesRemote Sensing, 2023
The automotive synthetic aperture radar (SAR) can obtain two-dimensional (2-D) high-resolution images and has good robustness compared with the other sensors.
Ping Guo   +4 more
doaj   +1 more source

Moving target detection and tracking with multiplatform radar network (MRN)

open access: yesIET Radar, Sonar & Navigation, 2022
A multiplatform radar network (MRN) composed of multiple transmitting and receiving facilities is advantageous over monostatic radar in moving target detection (MTD) and tracking due to the diversity gain.
Zhe Geng   +4 more
doaj   +1 more source

Research on key technology of multi-radar network and cooperative detection [PDF]

open access: yesZhihui kongzhi yu fangzhen, 2023
In this paper, the key technologies of multi-radar network and cooperative detection are studied in order to meet the urgent needs of radar network operations in the future strong countermeasure environment.
QI Chongying, HE Feng, CHEN Chao
doaj   +1 more source

Radar-to-Radar Interference Suppression for Distributed Radar Sensor Networks [PDF]

open access: yesRemote Sensing, 2014
Radar sensor networks, including bi- and multi-static radars, provide several operational advantages, like reduced vulnerability, good system flexibility and an increased radar cross-section. However, radar-to-radar interference suppression is a major problem in distributed radar sensor networks.
Wen-Qin Wang, Huaizong Shao
openaire   +3 more sources

Efficient Radar-Target Assignment in Low Probability of Intercept Radar Networks: A Machine-Learning Approach

open access: yesIEEE Open Journal of the Communications Society, 2023
To achieve low probability of intercept (LPI) in radar networks for multiple target detection, it is necessary to find the optimal assignment of distributed radars to targets.
Hamid Amiriara   +2 more
doaj   +1 more source

Dynamic Radar Networks of UAVs: A Tutorial Overview and Tracking Performance Comparison With Terrestrial Radar Networks [PDF]

open access: yesIEEE Vehicular Technology Magazine, 2020
In the incoming years, the low-aerial space will be crowded by unmanned aerial vehicles (UAVs), which will be providing different services. In this expected context, an emerging problem is to detect and track unauthorized or malicious mini/micro UAVs. In contrast to current solutions mainly based on fixed terrestrial radars, this article will put forth
Anna Guerra   +2 more
openaire   +4 more sources

Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm

open access: yesSensors, 2022
The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the
Qingyu Xia   +5 more
doaj   +1 more source

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