Results 31 to 40 of about 65,159 (190)
Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar
Lintao Ding+3 more
doaj +1 more source
Moving target detection and tracking with multiplatform radar network (MRN)
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
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-objective Optimization [PDF]
Consider a target being tracked by a cognitive radar network. If the target can intercept noisy radar emissions, how can it detect coordination in the radar network? By 'coordination' we mean that the radar emissions satisfy Pareto optimality with respect to multi-objective optimization over the objective functions of each radar and a constraint on ...
arxiv
$Radar^2$: Passive Spy Radar Detection and Localization using COTS mmWave Radar [PDF]
Millimeter-wave (mmWave) radars have found applications in a wide range of domains, including human tracking, health monitoring, and autonomous driving, for their unobtrusive nature and high range accuracy. These capabilities, however, if used for malicious purposes, could also result in serious security and privacy issues.
arxiv +1 more source
Signal Processing for Tracking of Moving Object in Multi-Impulse Radar Network System
Indoor positioning systems (IPSs) have been discussed for use in entertainment, home automation, rescue, surveillance, and healthcare applications. In this paper, we present an IPS that uses an impulse radio-ultra-wideband (IR-UWB) radar network.
Beom-Hun Kim+3 more
doaj +1 more source
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference [PDF]
This paper considers three inter-related adversarial inference problems involving cognitive radars. We first discuss inverse tracking of the radar to estimate the adversary's estimate of us based on the radar's actions and calibrate the radar's sensing accuracy.
arxiv
Mixed Models Analysis of Radar Residuals Data
Mixed models provide a novel approach to the analysis of radar tracking residuals by considering randomness from different sources. Through properly considering randomness, mixed models can provide greater power to determine the statistical significance ...
Carl Clifford Gaither+3 more
doaj +1 more source
Radar SLAM: A Robust SLAM System for All Weather Conditions [PDF]
A Simultaneous Localization and Mapping (SLAM) system must be robust to support long-term mobile vehicle and robot applications. However, camera and LiDAR based SLAM systems can be fragile when facing challenging illumination or weather conditions which degrade their imagery and point cloud data.
arxiv
Bernoulli track‐before‐detect smoothing for maritime radar
Detection and tracking of small targets in sea clutter using a high‐resolution radar is a challenging problem as the sea surface constantly moves in a complex manner, with rough seas creating strong target‐like returns. Recently, a Bernoulli track‐before‐
Branko Ristic+3 more
doaj +1 more source
Waveform Selection Method of Cognitive Radar Target Tracking Based on Reinforcement Learning
Based on the obtained knowledge through ceaseless interaction with the environment and learning from the experience, cognitive radar continuously adjusts its waveform, parameters, and illumination strategies to achieve robust target tracking in complex ...
Peikun ZHU+3 more
doaj +1 more source