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Range compression and waveform optimization for MIMO radar: a Cramér-Rao bound based study
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
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2008 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 56, no 1, 218-232 p.Article in journal (Refereed) Published
Abstract [en]

A multi-input multi-output (MIMO) radar system, unlike standard phased-array radar, can transmit via its antennas multiple probing signals that may be correlated or uncorrelated with each other. This waveform diversity offered by MIMO radar enables superior capabilities compared with a standard phased-array radar. One of the common practices in radar has been range compression. We first address the question of "to compress or not to compress" by considering both the Cramer-Rao bound (CRB) and the sufficient statistic for parameter estimation. Next, we consider MIMO radar waveform optimization for parameter estimation for the general case of multiple targets in the presence of spatially colored interference and noise. We optimize the probing signal vector of a MIMO radar system by considering several design criteria, including minimizing the trace, determinant, and the largest eigenvalue of the CRB matrix. We also consider waveform optimization by minimizing the CRB of one of the target angles only or one of the target amplitudes only. Numerical examples are provided to demonstrate the effectiveness of the approaches we consider herein.

Place, publisher, year, edition, pages
2008. Vol. 56, no 1, 218-232 p.
Keyword [en]
Cramer-Rao bound (CRB), MIMO radar, space-time adaptive processing (STAP), waveform optimization
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-104181DOI: 10.1109/TSP.2007.901653ISI: 000251947200018OAI: oai:DiVA.org:uu-104181DiVA: diva2:219497
Available from: 2009-05-27 Created: 2009-05-27 Last updated: 2017-12-13Bibliographically approved

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Stoica, Peter

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