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A Compressed Sensing Based Design for Formation of Range-Doppler Maps
(2016)
Compressed sensing (CS) based reconstruction methods have been in much focus over the last years as they provide a mean to work with limited amount of data. In this article we present an application of CS and sparse ...
Compressed Sensing for Multistatic Radar Systems with Arbitrary Block Codes
(2015)
Multistatic radar systems with multiple elements at transmitting and/or receiving side permit multiple target observations from different viewpoints providing various advantageous. In an environment with multiple transmitters ...
Formation of Range-Doppler Maps Based on Sparse Reconstruction
(2016)
This paper presents an application of compressed sensing in a pulsed system, such as a radar or sonar to form range-Doppler maps. Instead of transmitting a train of pulses, we portrait a system where the pulse emission ...
GO-CFAR Trained Neural Network Target Detectors
(2019)
Detecting targets embedded in noise and clutter is an essential task for many radar systems. A competent system must additionally offer high probability of detection with a low false alarm rate and a standard practice is ...
A neural network framework for binary classification of radar detections.
(2021-09-17)
A desired objective in radar target detection is to satisfy two very contradictory requirements: offer a high probability of detection with a low false alarm rate. In this paper, we propose the utilization of artificial ...
Augmenting Radar Doppler Resolution with Neural Networks
(2021-12-08)
In order to generate high-resolution Doppler profiles a radar needs to emit a large number of pulses within a coherent processing interval (CPI). For a radar operating in demanding scenarios it can be difficult to sustain ...
Sparse range-Doppler image construction with neural networks
(2020-06-11)
The principles outlined by compressed sensing can
permit a sensor to collect reduced amount of data and still
reconstruct an exact outcome. This can for example be used
to generate super-resolution sparse range-Doppler ...
Maskinlæring og gruppeantenner i moderne radarsystemer
(2021-02-26)
Denne rapporten presenterer enkelte resultater fra siste del av FFI-prosjektet Operativ
radarytelse II (OPRA II), hvor den potensielle anvendelsen av maskinlæring og nevrale nettverk
i moderne radarsystemer er blitt ...
Compressed sensing og sparse rekonstruksjon i radarsammenheng
(2020-09-25)
Denne rapporten gir en kort gjennomgang av de viktigste prinsippene bak compressed sensing og
vurderer noen mulige anvendelser i radarsammenheng. Compressed sensing er en metodikk som kan
anvendes for å samle inn og ...
Training of Neural Network Target Detectors Mentored by SO-CFAR
(2020)
A desirable objective in radar detection theory is the ability to detect and recognize targets in intricate scenarios such as in the presence of clutter or multiple closely spaced targets. Herein we propose the use of ...