Title
Sidelobe Mitigation in Noise Radar Using Sparse Signal Processing
Author
de Martin, L.
van Rossum, W.
Ribeiro, D.
Anitori, L.
Publication year
2020
Abstract
It is well known that noise-like waveforms have the inherent property of suppressing ambiguities due to their nonrepetitive nature, as opposed to the more classical linear frequency modulated (LFM) pulsed waveforms. This aperiodicity also improves the robustness against jammers, making these waveforms harder to detect and classify by an enemy. However, noise waveforms are Doppler sensitive, requiring the use of Doppler-dependent matched filters for proper range compression. Also, when processed with classical matched filters, noise waveforms have sidelobes that spread out across the whole range-Doppler plane, potentially masking weak targets in the presence of strong ones. A possible solution to reduce the sidelobe interference is to use sparse signal processing (SSP). In this article, we demonstrate with simulated and experimental data how noise waveforms can be used in combination with SSP for unambiguous detection of strong as well as weak targets, improving upon the performance of more conventional LFM pulsed waveforms. © 1986-2012 IEEE.
Subject
Chirp modulation
Radar signal processing
Classical matched filters
Linear frequency modulated
Noise waveforms
Noise-like waveforms
Range compression
Range doppler
Side-lobe interference
Sparse signal processing
Matched filters
To reference this document use:
http://resolver.tudelft.nl/uuid:79a775a5-ac1e-4fc8-a17e-d438e8bd1d5b
DOI
https://doi.org/10.1109/maes.2020.2988331
TNO identifier
881674
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISSN
0885-8985
Source
IEEE Aerospace and Electronic Systems Magazine, 35 (9), 32-40
Article number
9186902
Document type
article