DocumentCode :
2384407
Title :
Randomized step frequency radar with adaptive compressed sensing
Author :
Huang, Tianyao ; Liu, Yimin ; Meng, Huadong ; Wang, Xiqin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2011
fDate :
23-27 May 2011
Firstpage :
411
Lastpage :
414
Abstract :
We develop a novel algorithm for range and velocity joint estimating in randomized stepped frequency radar. By exploiting sparseness of the targets and invoking compressed sensing (CS) theory, higher resolution can be achieved. However, in actual radar system, some previous CS methods probably suffer from off-grid point effect, which causes performance degradation of the methods. We produce an adaptive CS method to mitigate the off-grid point effect. The performance of the proposed algorithm on accuracy and resolution of range-velocity joint estimate are illustrated by simulations and field experiments.
Keywords :
adaptive signal processing; distance measurement; radar resolution; signal sampling; velocity measurement; adaptive CS method; adaptive compressed sensing; off-grid point effect; radar resolution; randomized stepped frequency radar; range estimation; velocity estimation; Compressed sensing; Joints; Matching pursuit algorithms; Radar; Scattering; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
ISSN :
1097-5659
Print_ISBN :
978-1-4244-8901-5
Type :
conf
DOI :
10.1109/RADAR.2011.5960571
Filename :
5960571
Link To Document :
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