Beurling-Type Density Criteria for System Identification
Abstract
This paper addresses the problem of identifying a linear time-varying (LTV) system characterized by a (possibly infinite) discrete set of delay-Doppler shifts without a lattice (or other "geometry-discretizing") constraint on the support set. Concretely, we show that a class of such LTV systems is identifiable whenever the upper uniform Beurling density of the delay-Doppler support sets, measured "uniformly over the class", is strictly less than 1/2. The proof of this result reveals an interesting relation between LTV system identification and interpolation in the Bargmann-Fock space. Moreover, we show that the density condition we obtain is also necessary for classes of systems invariant under time-frequency shifts and closed under a natural topology on the support sets. We furthermore find that identifiability guarantees robust recovery of the delay-Doppler support set, as well as the weights of the individual delay-Doppler shifts, both in the sense of asymptotically vanishing reconstruction error for vanishing measurement error.
- Publication:
-
Journal of Fourier Analysis and Applications
- Pub Date:
- August 2023
- DOI:
- 10.1007/s00041-023-10020-8
- arXiv:
- arXiv:2101.09341
- Bibcode:
- 2023JFAA...29...45A
- Keywords:
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- Beurling density;
- Bargmann-Fock space;
- Interpolation;
- Modulation spaces;
- Linear time-varying systems;
- System identification;
- Computer Science - Information Theory;
- Electrical Engineering and Systems Science - Systems and Control;
- Mathematics - Functional Analysis