Exploring Group Theory for Optimal Cognitive Radar Waveform Design

We explore applying group theory principles in designing waveforms for a cognitive radar. By leveraging affine groups, we provide a mathematical framework for designing radar waveforms for a wideband multiple-input multiple-output (MIMO) radar. Prior works in this area have considered this approach for the narrowband or single-antenna radar systems. We first derive a general wideband ambiguity function of a MIMO radar by correlating the signal with its time-dilated, Doppler-shifted, and position-delayed replicas. The ambiguity function is essentially a coefficient function of the unitary representation of an affine group. We then construct complementary waveforms that minimize range sidelobes in the cross-ambiguity matrix, depending on the requirements of cognitive radar. Our numerical experiments demonstrate the effectiveness of group-theory-based complementary waveform designs.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889342
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Exploring Group Theory for Optimal Cognitive Radar Waveform Design

Jonathan Monsalve, Kumar Vijay Mishra, A.R. Calderbank
Radar Systems and Signal Processing
article

Exploring Group Theory for Optimal Cognitive Radar Waveform Design

Jonathan Monsalve, Kumar Vijay Mishra, A.R. Calderbank
article en

Abstract

We explore applying group theory principles in designing waveforms for a cognitive radar. By leveraging affine groups, we provide a mathematical framework for designing radar waveforms for a wideband multiple-input multiple-output (MIMO) radar. Prior works in this area have considered this approach for the narrowband or single-antenna radar systems. We first derive a general wideband ambiguity function of a MIMO radar by correlating the signal with its time-dilated, Doppler-shifted, and position-delayed replicas. The ambiguity function is essentially a coefficient function of the unitary representation of an affine group. We then construct complementary waveforms that minimize range sidelobes in the cross-ambiguity matrix, depending on the requirements of cognitive radar. Our numerical experiments demonstrate the effectiveness of group-theory-based complementary waveform designs.

DEVCOM Army Research Laboratory (US), Duke University (US), United States Army Combat Capabilities Development Command (US), Universitaria de Investigación y Desarrollo (CO)
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Radar Systems and Signal Processing
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Exploring Group Theory for Optimal Cognitive Radar Waveform Design — Jonathan Monsalve, Kumar Vijay Mishra, et al. · (2025) | TGRS Research Map | TGRS