DocumentCode :
715026
Title :
Spectral and spatial diversity measurements in the Mumma Radar Lab
Author :
Guzel, Y. ; Almutiry, M. ; Lo Monte, L. ; Nassib, A. ; Saville, M.A. ; Wicks, M.C.
fYear :
2015
fDate :
10-15 May 2015
Firstpage :
1730
Lastpage :
1733
Abstract :
Due to rapid advancement in algorithms, high performance computing, digital electronics, and RF (radio frequency) hardware, the design of modern radar now incorporates both spectral and spatial diversity .Driving the state-of-the-art is shared-spectrum waveforms for the co-design of radar, communication and navigation systems, as well as thin spectrum and multiband signals. Spatially diverse multi-static radar, including RF Tomography [1], MIMO (multiple-input multiple-output) and DAR (distributed aperture radar) [2] are already emerging in the field. Calibration is challenging in traditional radar, and even more so in spectrally and spatially diverse systems. Instrumentation radar measurements are time consuming and costly. This paper proposes an alternative approach to the traditional sensor measurements that demand a quite zone in an anechoic chamber or an isolated outdoor radar range. Research in the MRL (Mumma Radar Lab) is currently focused on ISAR (inverse synthetic aperture radar), GPR (ground penetrating radar) and RF Tomography, all under calibrated conditions.
Keywords :
MIMO radar; calibration; ground penetrating radar; radar interferometry; synthetic aperture radar; DAR; GPR; ISAR; MIMO radar; MRL; Mumma Radar Lab; RF Tomography; RF hardware; anechoic chamber; calibrated conditions; communication systems; digital electronics; distributed aperture radar; ground penetrating radar; high performance computing; inverse synthetic aperture radar; multiband signals; multiple-input multiple-output radar; navigation systems; radiofrequency hardware; sensor measurements; shared-spectrum waveforms; spatial diversity measurements; spatially diverse multistatic radar; spectral diversity measurements; Ground penetrating radar; Radar imaging; Radio frequency; Robot sensing systems; Synthetic aperture radar; Tomography; Distributed Aperture Radar; Imaging; Inverse Synesthetic Aperture Radar; Radio Frequency Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131278
Filename :
7131278
Link To Document :
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