Results 31 to 40 of about 134,790 (308)
Joint Transmit Resources and Trajectory Planning for Target Tracking in Airborne Radar Networks
This paper investigates the joint optimization problem of transmit resources and trajectory planning for target tracking in airborne radar networks. First, the analytical expression for the Bayesian Cramér-Rao Lower Bound (BCRLB) with the variables of ...
Chenguang SHI +3 more
doaj +1 more source
Radar Selection Method Based on an Improved Information Filter in the LPI Radar Network
In order to save the radar resources and obtain the better low probability intercept ability in the network, a novel radar selection method for target tracking based on improved interacting multiple model information filtering (IMM-IF) is presented ...
Zhenkai Zhang +3 more
doaj +1 more source
Analysis of Electronic Attack Techniques against Monopulse Radars [PDF]
The making of modern radar systems using advanced radar techniques and the simultaneous implementation of modern and effective electronic protection capabilities is a serious threat to the electronic attack systems.
Jafar Khalilpur +2 more
doaj +1 more source
Multi-Radar Collaborative Surveillance (MRCS) technology enables a geographically distributed detection configuration through the linkage of multiple radars, which can fully obtain detection gains in terms of spatial and frequency diversity, thereby ...
Wei YI +5 more
doaj +1 more source
The flight patterns of bees have been studied for over 100 years, but due to their small size, bees can only be tracked by eye for a very short distance from the nest or hive. Scientists have employed various techniques, including mark-recapture, feeder experiments, homing experiments and the interpretation of bee dances, to investigate bee foraging ...
Carreck, N. L. +3 more
openaire +1 more source
Review of Deep Learning for SAR 3D Imaging
With the increasing demands on imaging accuracy, efficiency, and robustness in modern three-Dimensional (3D) Synthetic Aperture Radar (SAR) imaging systems, the performance of traditional 3D imaging methods, such as matched filtering and compressed ...
Changhao LIU +3 more
doaj +1 more source
Practical classification of different moving targets using automotive radar and deep neural networks [PDF]
In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks.
Angelov, Aleksandar +3 more
core +1 more source
Detecting, tracking, and classifying unmanned aerial vehicles (UAVs) in a swarm presents significant challenges due to their small and diverse radar cross-sections, multiple flight altitudes, velocities, and close trajectories.
Wahab Khawaja +2 more
doaj +1 more source
Multi-target Micro-motion Feature Extraction Based on Tracking Pulses in MIMO Radar
The micro-motion feature is one of the important characteristic information of spatial target recognition. However, the existing multifunctional Multi-Input Multi-Output (MIMO) radar usually has to allocate a large number of continuous time resources for
Luo Ying +3 more
doaj +1 more source
Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
doaj +1 more source

