Title :
Digital Beamforming on Receive in Elevation for Multidimensional Waveform Encoding SAR Sensing
Author :
Feng He ; Xile Ma ; Zhen Dong ; Diannong Liang
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This letter investigates the performance of a waveform-separation approach employing a posteriori digital beamforming (DBF) in elevation for multidimensional waveform encoding SAR sensing. The signal-to-noise ratio scaling factor in elevation and full-Doppler-band range ambiguity-to-signal ratio are defined to give global assessment of the DBF approach. Constraints for the selection of elevation subaperture number and their relevant influence on image quality are investigated. By theoretical analysis and simulation, the subaperture number can be appropriately selected by a tradeoff between the data volume and imaging performance. Further strategies for data reduction and performance optimization are briefly discussed.
Keywords :
Doppler radar; array signal processing; data reduction; digital elevation models; image coding; maximum likelihood estimation; optimisation; radar imaging; synthetic aperture radar; waveform analysis; DBF approach; Doppler band range ambiguity-to-signal ratio; a posteriori processing; data reduction; digital beamforming; elevation subaperture number selection; global assessment; image quality; multidimensional waveform encoding SAR sensing; performance optimization; signal to noise ratio scaling factor; waveform separation approach; Array signal processing; Azimuth; Delays; Encoding; Signal to noise ratio; Synthetic aperture radar; Digital beamforming (DBF); multidimensional waveform encoding (MWE); multiple-input–multiple-output synthetic aperture radar (MIMO-SAR); multiple-input???multiple-output synthetic aperture radar (MIMO-SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2323267
