Title :
Analysis of Multistatic Pixel Correlation in SAR
Author :
Duersch, Michael I. ; Long, David G.
Author_Institution :
Dept. of Electr. Eng., Brigham Young Univ., Provo, UT, USA
Abstract :
The field of wireless communications has benefited from multiple-input and multiple-output (MIMO) techniques. As researchers seek to apply MIMO (multistatic) techniques to radar and specifically to synthetic aperture radar (SAR), a key factor in determining MIMO application and performance is the level of correlation of signals from different receiver/transmitter pairs. The level of correlation determines whether a MIMO array falls into the category of a collocated array or a distributed array. The type of array dramatically affects which MIMO techniques may be performed and what advantages MIMO offers from conventional techniques. This paper presents models for calculating geometric correlation of multistatic SAR pixels using a ground-plane image formation. The models´ results are compared to previous correlation models found in literature. A key result is that correlation depends on pixel resolution and not the number of individual scatterers. This paper concludes that most MIMO arrays operating on a single platform operate in the collocated regime.
Keywords :
MIMO radar; correlation methods; image resolution; radar imaging; radar receivers; radar transmitters; synthetic aperture radar; MIMO technique; SAR; collocated array category; distributed array category; geometric correlation calculation; ground-plane image formation; multiple-input multiple-output technique; multistatic pixel correlation analysis; pixel image resolution; receiver-transmitter pair; synthetic aperture radar; wireless communication; Correlation; MIMO; Receiving antennas; Synthetic aperture radar; Backprojection; multiple-input multiple-output (MIMO); multistatic radar; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2014.2322611