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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 ...
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 ...
Frequency agility radar with overlapping pulses and sparse reconstruction
(2018)
The use of frequency agility has a proven track record in radar systems. Altering the radar carrier frequency over shorter intervals improves the detection capabilities for slowly fluctuating targets and increases jamming ...
Compressed Sensing with Interleaving Slow-Time Pulses and Hybrid Sparse Image Reconstruction
(2017)
This paper explores a type of hybrid sparse reconstruction technique for modern multifunction task scheduling radars and on following range-Doppler plots. A compressed sensing (CS) framework is devised to emit and then ...
Sparse Phase Estimation and Processing of Independent Coherent Processing Intervals
(2017)
Radars employing electronically steering arrays are capable of instantaneously altering the direction of the beam along with other parameters. This flexibility offers great opportunities to a radar as it may e.g. divide ...