DocumentCode
1935222
Title
Distributed RADAR waveform design based on compressive sensing considerations
Author
Subotic, Nikola S. ; Thelen, Brian ; Cooper, Kyle ; Buller, William ; Parker, Jason ; Browning, James ; Beyer, Howard
Author_Institution
Michigan Tech Res. Inst., Ann Arbor, MI
fYear
2008
fDate
26-30 May 2008
Firstpage
1
Lastpage
6
Abstract
In this paper we describe a joint waveform design methodology for distributed imaging RADARs using the concepts of compressive sensing. Compressive sensing is an active area of research that offers the promise of good object reconstruction with a sparse measurement set. The measurement set of the scene is based on a set of dasiaprobes,psila the radar waveforms. The set of measurements must satisfy the restricted isometry property and the scene being interrogated must be dasiacompressiblepsila meaning that it can be sparsely represented in some basis. We examine waveform and position considerations for a distributed radar system to satisfy these constraints and show their impact on waveform design and image reconstruction.
Keywords
distributed sensors; image reconstruction; image sensors; radar imaging; sparse matrices; waveform analysis; compressive sensing; distributed radar waveform design; image reconstruction; object reconstruction; sparse matrix representation; sparse measurement set; Force sensors; Image reconstruction; Image sensors; Intelligent sensors; Layout; Radar detection; Radar imaging; Sensor arrays; Sensor phenomena and characterization; Transmitters; Compressive Sensing; Distributed RADAR; Waveform Design;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2008. RADAR '08. IEEE
Conference_Location
Rome
ISSN
1097-5659
Print_ISBN
978-1-4244-1538-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2008.4721070
Filename
4721070
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