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.
Authors
- Jonathan Monsalve (ORCID: https://orcid.org/0000-0002-8836-556X)
- Kumar Vijay Mishra (ORCID: https://orcid.org/0000-0002-5386-609X)
- A.R. Calderbank
Institutions
- DEVCOM Army Research Laboratory (US)
- Duke University (US)
- United States Army Combat Capabilities Development Command (US)
- Universitaria de Investigación y Desarrollo (CO)
Publication Details
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1109/icassp49660.2025.10889342
- Primary Topic
- Radar Systems and Signal Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00