Machine learning and deep learning techniques for colocated MIMO radars: A tutorial overview
Radars are expected to become the main sensors in various civilian applications, ranging
from health-care monitoring to autonomous driving. Their success is mainly due to the …
from health-care monitoring to autonomous driving. Their success is mainly due to the …
Panoster: End-to-end panoptic segmentation of lidar point clouds
Panoptic segmentation has recently unified semantic and instance segmentation, previously
addressed separately, thus taking a step further towards creating more comprehensive and …
addressed separately, thus taking a step further towards creating more comprehensive and …
Deep ToA mask-based recursive radar pulse deinterleaving
H ** Based on Antenna Scan Pattern via SOLOv2 Network
T Chen, X Guo, J Li - Remote Sensing, 2024 - mdpi.com
Aiming at the problems, in which the traditional radar signal sorting method has high
requirements for manual experience and poor adaptability, and considering the differences …
requirements for manual experience and poor adaptability, and considering the differences …
Towards Human-Machine Integration for Signals Intelligence Applications
Recent advancements in radar technology and telecommunications have led to a high
population of increasingly complex emitters in the electromagnetic spectrum. From the …
population of increasingly complex emitters in the electromagnetic spectrum. From the …
Optimal Transport: an application to the RADAR Recognition Process for deinterleaving RADAR pulses and identifying emitter
M Mottier - 2024 - theses.hal.science
Military intelligence is essential to a country's security and defense, particularly signals
intelligence (ROEM). The emergence of passive systems has given a considerable …
intelligence (ROEM). The emergence of passive systems has given a considerable …