DocumentCode
3389780
Title
MIMO Radarwaveform Design
Author
Yang, Yang ; Blum, Rick S.
Author_Institution
ECE Department, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015. Email: yay204@lehigh.edu
fYear
2007
fDate
26-29 Aug. 2007
Firstpage
468
Lastpage
472
Abstract
Recently the radar community has been discussing "multiple-input multiple-output (MIMO) radar" that utilizes multiple transmitters to transmit independentwaveforms. MIMO radar offers the potential for significant gains, e.g., diversity gain and spatial resolution gain. Since the employed radar waveform plays a key role in determining the accuracy, resolution, and ambiguity in performing tasks such as determining the target range, velocity, shape and so on, it is meaningful to investigate waveform design specially for this newly proposed MIMO radar. This paper summarizes some of our recent results on MIMO radar waveform design, mainly for identification and classification of extended radar targets. Our waveform design considers optimizing two criteria: maximization of the mutual information (MI) and minimization of the minimum mean-square error (MMSE). In this process, we are also interested in identifying the relationship between the waveforms obtained under the two criteria, given different a prior knowledge of the target\´s second-order statistics.
Keywords
Design optimization; Diversity methods; MIMO; Mutual information; Performance gain; Radar cross section; Radar detection; Shape; Spatial resolution; Transmitters; Multiple-input multiple-output (MIMO) radar; extended radar targets; minimum mean-square error (MMSE); mutual information (MI); radar waveform design; target classification and identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
Conference_Location
Madison, WI, USA
Print_ISBN
978-1-4244-1198-6
Electronic_ISBN
978-1-4244-1198-6
Type
conf
DOI
10.1109/SSP.2007.4301302
Filename
4301302
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