Search
Now showing items 11-16 of 16
Target detection in radars using small neural networks
(2022-08-17)
Target detection is an essential part of radar systems. An important objective in radar target detection
is to satisfy two often contradictory requirements: a high probability of detection with a low false
alarm rate. ...
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 ...
Discrete Fourier Transform with Neural Networks
(2021-12-10)
The discrete Fourier transform is an important computational tool to retrieve the frequency distribution of a sampled signal. Recent years have also witnessed considerable research activity in neural networks as a mean to ...
High-Resolution Neural Network Processing of LFM Radar Pulses
(2023-05-05)
In radar applications, the bandwidth of a transmitted pulse determines the range resolution and the ability to disclose densely spaced targets. The processing of radar signals is often carried out through matched filtering ...
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 ...