Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery

Marie Lasserre (1) , Stéphanie Bidon (1) , François Le Chevalier (2)

1 DEOS - Département Electronique, Optronique et Signal
2 Department of Electrical Engineering, Mathematics and Computer Science [Delft]

Within the scope of sparse signal representation, we consider the problem of velocity ambiguity mitigation for wideband radar signal. We present a Bayesian robust algorithm based on a new sparsifying dictionary suited for range-migrating targets possibly straddling range-velocity bins. Numerical simulations on experimental data demonstrate the ability of the proposed algorithm in mitigating velocity ambiguity.

Mots clés: Bayesian estimation; Sparse signal representations (SSR); Wideband radar

Domaines: Autre

Marie Lasserre, Stéphanie Bidon, François Le Chevalier. Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery. 2016 IEEE Statistical Signal Processing Workshop (SSP), Jun 2016, Palma de Mallorca, Spain. pp. 1-5. ⟨hal-01446111⟩