DocumentCode :
2762024
Title :
Compressed Sensing for UWB Radar Target Signature Reconstruction
Author :
Jouny, Ismail
Author_Institution :
ECE Dept., Lafayette Coll., Easton, PA
fYear :
2009
fDate :
4-7 Jan. 2009
Firstpage :
714
Lastpage :
719
Abstract :
Ultra-wideband radar target impulse response is characterized by few significant scatterers that can be directly associated with the target geometry such as wing tip, engine inlet, etc. Although there are few scatterers of interest, the UWB nature of the radar sensor requires extensive frequency domain measurements or highly sampled time domain signatures. This requirement is simply a consequence of Nyquist sampling criterion despite the limited number of scatterers along the range (fuselage) of the target. This paper employs the relatively new concept of "compressed sensing" for generating an UWB target signature with as little measurements as possible. The paper applies the concept of compressed sensing to synthetic target models then extends the same approach to real radar signatures recorded in a compact range environment. The results indicate the feasibility of reducing the number of samples needed to accurately characterize and identify target scattering centers.
Keywords :
radar signal processing; signal reconstruction; signal sampling; ultra wideband radar; Nyquist sampling criterion; UWB radar target signature reconstruction; compressed sensing; engine inlet; frequency domain measurements; radar sensor; synthetic target models; target geometry; target scattering centers; time domain signatures; ultrawideband radar target impulse response; wing tip; Compressed sensing; Engines; Frequency domain analysis; Frequency measurement; Geometry; Radar measurements; Radar scattering; Sensor phenomena and characterization; Ultra wideband radar; Ultra wideband technology; Compressed Sensing; Scattering Centers; UWB Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
Type :
conf
DOI :
10.1109/DSP.2009.4786015
Filename :
4786015
Link To Document :
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