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
Link To Document :
بازگشت