MIMO radar in the presence of modeling errors: A Cramér-Rao bound investigation

Duy Tran Nguyen 1, 2 Alexandre Renaux 3 Remy Boyer 2 Sylvie Marcos 3 Pascal Larzabal 1
1 SATIE - Systèmes et Applications des Technologies de l'Information et de l'Energie
2 L2S - Laboratoire des signaux et systèmes
3 Division Signaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
Abstract : In this paper, we study the impact of modeling error on the receiver of a MIMO radar. Following other works on classical array processing, we derive closed-form expressions of the Cramér-Rao bounds for an observation model of a widely spaced MIMO radar affected by modeling error. We show that, as the signal-to-noise ratio increases, the Cramér-Rao bound and the mean square error of the maximum likelihood estimator of the angle-of-arrival do not fall to zero (contrary to the classical case without error modeling) and converge to a fixed limit for which we give a closed-form expression. Moreover, we give a simple closed-form expression of the critical value of the signal-to-noise ratio where this limitation of performance appears.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00771365
Contributor : Alexandre Renaux <>
Submitted on : Tuesday, January 8, 2013 - 3:02:27 PM
Last modification on : Wednesday, July 24, 2019 - 8:36:03 PM

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Duy Tran Nguyen, Alexandre Renaux, Remy Boyer, Sylvie Marcos, Pascal Larzabal. MIMO radar in the presence of modeling errors: A Cramér-Rao bound investigation. IEEE ICASSP 2011, May 2011, Prague, Czech Republic. pp.2780 - 2783, ⟨10.1109/ICASSP.2011.5947061⟩. ⟨hal-00771365⟩

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